Merge branch 'main' into feat-configurable-timezone

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@ -23,8 +23,45 @@ jobs:
PACKAGES=$(find . -name pyproject.toml -exec dirname {} \; | sed 's/^\.\///' | jq -R -s -c 'split("\n")[:-1]')
echo "packages=$PACKAGES" >> $GITHUB_OUTPUT
build:
test:
needs: [detect-packages]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Test ${{ matrix.package }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v3
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version-file: "src/${{ matrix.package }}/.python-version"
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: uv sync --frozen --all-extras --dev
- name: Check if tests exist
id: check-tests
working-directory: src/${{ matrix.package }}
run: |
if [ -d "tests" ] || [ -d "test" ] || grep -q "pytest" pyproject.toml; then
echo "has-tests=true" >> $GITHUB_OUTPUT
else
echo "has-tests=false" >> $GITHUB_OUTPUT
fi
- name: Run tests
if: steps.check-tests.outputs.has-tests == 'true'
working-directory: src/${{ matrix.package }}
run: uv run pytest
build:
needs: [detect-packages, test]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}

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@ -212,10 +212,3 @@ jobs:
--title "Release $VERSION" \
--notes-file RELEASE_NOTES.md
- name: Docker MCP images
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.DOCKER_TOKEN }}
repository: docker/labs-ai-tools-for-devs
event-type: build-mcp-images
client-payload: '{"ref": "${{ needs.create-metadata.outputs.version }}"}'

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@ -22,8 +22,43 @@ jobs:
PACKAGES=$(find . -name package.json -not -path "*/node_modules/*" -exec dirname {} \; | sed 's/^\.\///' | jq -R -s -c 'split("\n")[:-1]')
echo "packages=$PACKAGES" >> $GITHUB_OUTPUT
build:
test:
needs: [detect-packages]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Test ${{ matrix.package }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
cache: npm
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: npm ci
- name: Check if tests exist
id: check-tests
working-directory: src/${{ matrix.package }}
run: |
if npm run test --silent 2>/dev/null; then
echo "has-tests=true" >> $GITHUB_OUTPUT
else
echo "has-tests=false" >> $GITHUB_OUTPUT
fi
continue-on-error: true
- name: Run tests
if: steps.check-tests.outputs.has-tests == 'true'
working-directory: src/${{ matrix.package }}
run: npm test
build:
needs: [detect-packages, test]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}

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@ -1,30 +0,0 @@
name: Version Consistency Check
on:
push:
branches:
- main
pull_request:
release:
types: [published]
jobs:
github:
name: Check GitHub server version consistency
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check version consistency
run: |
PACKAGE_VERSION=$(node -p "require('./src/github/package.json').version")
TS_VERSION=$(grep -o '".*"' ./src/github/common/version.ts | tr -d '"')
if [ "$PACKAGE_VERSION" != "$TS_VERSION" ]; then
echo "::error::Version mismatch detected!"
echo "::error::package.json version: $PACKAGE_VERSION"
echo "::error::version.ts version: $TS_VERSION"
exit 1
else
echo "✅ Versions match: $PACKAGE_VERSION"
fi

1
.vscode/settings.json vendored Normal file
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@ -0,0 +1 @@
{}

943
README.md

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@ -1,7 +1,7 @@
# Security Policy
Thank you for helping us keep our MCP servers secure.
These servers are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project.
The **reference servers** in this repo are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project.
The security of our systems and user data is Anthropic’s top priority. We appreciate the work of security researchers acting in good faith in identifying and reporting potential vulnerabilities.

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package-lock.json generated

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@ -20,14 +20,8 @@
},
"dependencies": {
"@modelcontextprotocol/server-everything": "*",
"@modelcontextprotocol/server-gdrive": "*",
"@modelcontextprotocol/server-postgres": "*",
"@modelcontextprotocol/server-puppeteer": "*",
"@modelcontextprotocol/server-slack": "*",
"@modelcontextprotocol/server-brave-search": "*",
"@modelcontextprotocol/server-memory": "*",
"@modelcontextprotocol/server-filesystem": "*",
"@modelcontextprotocol/server-everart": "*",
"@modelcontextprotocol/server-sequential-thinking": "*"
}
}

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@ -1,22 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/aws-kb-retrieval-server /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

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@ -1,79 +0,0 @@
# AWS Knowledge Base Retrieval MCP Server
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
## Features
- **RAG (Retrieval-Augmented Generation)**: Retrieve context from the AWS Knowledge Base based on a query and a Knowledge Base ID.
- **Supports multiple results retrieval**: Option to retrieve a customizable number of results.
## Tools
- **retrieve_from_aws_kb**
- Perform retrieval operations using the AWS Knowledge Base.
- Inputs:
- `query` (string): The search query for retrieval.
- `knowledgeBaseId` (string): The ID of the AWS Knowledge Base.
- `n` (number, optional): Number of results to retrieve (default: 3).
## Configuration
### Setting up AWS Credentials
1. Obtain AWS access key ID, secret access key, and region from the AWS Management Console.
2. Ensure these credentials have appropriate permissions for Bedrock Agent Runtime operations.
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "docker",
"args": [ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "mcp/aws-kb-retrieval-server" ],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-aws-kb-retrieval"
],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
## Building
Docker:
```sh
docker build -t mcp/aws-kb-retrieval -f src/aws-kb-retrieval-server/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
This README assumes that your server package is named `@modelcontextprotocol/server-aws-kb-retrieval`. Adjust the package name and installation details if they differ in your setup. Also, ensure that your server script is correctly built and that all dependencies are properly managed in your `package.json`.

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@ -1,166 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import {
BedrockAgentRuntimeClient,
RetrieveCommand,
RetrieveCommandInput,
} from "@aws-sdk/client-bedrock-agent-runtime";
// AWS client initialization
const bedrockClient = new BedrockAgentRuntimeClient({
region: process.env.AWS_REGION,
credentials: {
accessKeyId: process.env.AWS_ACCESS_KEY_ID!,
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY!,
},
});
interface RAGSource {
id: string;
fileName: string;
snippet: string;
score: number;
}
async function retrieveContext(
query: string,
knowledgeBaseId: string,
n: number = 3
): Promise<{
context: string;
isRagWorking: boolean;
ragSources: RAGSource[];
}> {
try {
if (!knowledgeBaseId) {
console.error("knowledgeBaseId is not provided");
return {
context: "",
isRagWorking: false,
ragSources: [],
};
}
const input: RetrieveCommandInput = {
knowledgeBaseId: knowledgeBaseId,
retrievalQuery: { text: query },
retrievalConfiguration: {
vectorSearchConfiguration: { numberOfResults: n },
},
};
const command = new RetrieveCommand(input);
const response = await bedrockClient.send(command);
const rawResults = response?.retrievalResults || [];
const ragSources: RAGSource[] = rawResults
.filter((res) => res?.content?.text)
.map((result, index) => {
const uri = result?.location?.s3Location?.uri || "";
const fileName = uri.split("/").pop() || `Source-${index}.txt`;
return {
id: (result.metadata?.["x-amz-bedrock-kb-chunk-id"] as string) || `chunk-${index}`,
fileName: fileName.replace(/_/g, " ").replace(".txt", ""),
snippet: result.content?.text || "",
score: (result.score as number) || 0,
};
})
.slice(0, 3);
const context = rawResults
.filter((res): res is { content: { text: string } } => res?.content?.text !== undefined)
.map(res => res.content.text)
.join("\n\n");
return {
context,
isRagWorking: true,
ragSources,
};
} catch (error) {
console.error("RAG Error:", error);
return { context: "", isRagWorking: false, ragSources: [] };
}
}
// Define the retrieval tool
const RETRIEVAL_TOOL: Tool = {
name: "retrieve_from_aws_kb",
description: "Performs retrieval from the AWS Knowledge Base using the provided query and Knowledge Base ID.",
inputSchema: {
type: "object",
properties: {
query: { type: "string", description: "The query to perform retrieval on" },
knowledgeBaseId: { type: "string", description: "The ID of the AWS Knowledge Base" },
n: { type: "number", default: 3, description: "Number of results to retrieve" },
},
required: ["query", "knowledgeBaseId"],
},
};
// Server setup
const server = new Server(
{
name: "aws-kb-retrieval-server",
version: "0.2.0",
},
{
capabilities: {
tools: {},
},
},
);
// Request handlers
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [RETRIEVAL_TOOL],
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
if (name === "retrieve_from_aws_kb") {
const { query, knowledgeBaseId, n = 3 } = args as Record<string, any>;
try {
const result = await retrieveContext(query, knowledgeBaseId, n);
if (result.isRagWorking) {
return {
content: [
{ type: "text", text: `Context: ${result.context}` },
{ type: "text", text: `RAG Sources: ${JSON.stringify(result.ragSources)}` },
],
};
} else {
return {
content: [{ type: "text", text: "Retrieval failed or returned no results." }],
};
}
} catch (error) {
return {
content: [{ type: "text", text: `Error occurred: ${error}` }],
};
}
} else {
return {
content: [{ type: "text", text: `Unknown tool: ${name}` }],
isError: true,
};
}
});
// Server startup
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("AWS KB Retrieval Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error running server:", error);
process.exit(1);
});

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@ -1,30 +0,0 @@
{
"name": "@modelcontextprotocol/server-aws-kb-retrieval",
"version": "0.6.2",
"description": "MCP server for AWS Knowledge Base retrieval using Bedrock Agent Runtime",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-aws-kb-retrieval": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"@aws-sdk/client-bedrock-agent-runtime": "^3.0.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

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@ -1,17 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": ".",
"composite": true,
"incremental": true,
"tsBuildInfoFile": "./dist/.tsbuildinfo"
},
"include": [
"./**/*.ts"
],
"exclude": [
"node_modules",
"dist"
]
}

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@ -1,23 +0,0 @@
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/brave-search /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]

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@ -1,92 +0,0 @@
# Brave Search MCP Server
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
## Features
- **Web Search**: General queries, news, articles, with pagination and freshness controls
- **Local Search**: Find businesses, restaurants, and services with detailed information
- **Flexible Filtering**: Control result types, safety levels, and content freshness
- **Smart Fallbacks**: Local search automatically falls back to web when no results are found
## Tools
- **brave_web_search**
- Execute web searches with pagination and filtering
- Inputs:
- `query` (string): Search terms
- `count` (number, optional): Results per page (max 20)
- `offset` (number, optional): Pagination offset (max 9)
- **brave_local_search**
- Search for local businesses and services
- Inputs:
- `query` (string): Local search terms
- `count` (number, optional): Number of results (max 20)
- Automatically falls back to web search if no local results found
## Configuration
### Getting an API Key
1. Sign up for a [Brave Search API account](https://brave.com/search/api/)
2. Choose a plan (Free tier available with 2,000 queries/month)
3. Generate your API key [from the developer dashboard](https://api.search.brave.com/app/keys)
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
### Docker
```json
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/brave-search:latest -f src/brave-search/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

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@ -1,376 +0,0 @@
#!/usr/bin/env node
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
const WEB_SEARCH_TOOL: Tool = {
name: "brave_web_search",
description:
"Performs a web search using the Brave Search API, ideal for general queries, news, articles, and online content. " +
"Use this for broad information gathering, recent events, or when you need diverse web sources. " +
"Supports pagination, content filtering, and freshness controls. " +
"Maximum 20 results per request, with offset for pagination. ",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Search query (max 400 chars, 50 words)"
},
count: {
type: "number",
description: "Number of results (1-20, default 10)",
default: 10
},
offset: {
type: "number",
description: "Pagination offset (max 9, default 0)",
default: 0
},
},
required: ["query"],
},
};
const LOCAL_SEARCH_TOOL: Tool = {
name: "brave_local_search",
description:
"Searches for local businesses and places using Brave's Local Search API. " +
"Best for queries related to physical locations, businesses, restaurants, services, etc. " +
"Returns detailed information including:\n" +
"- Business names and addresses\n" +
"- Ratings and review counts\n" +
"- Phone numbers and opening hours\n" +
"Use this when the query implies 'near me' or mentions specific locations. " +
"Automatically falls back to web search if no local results are found.",
inputSchema: {
type: "object",
properties: {
query: {
type: "string",
description: "Local search query (e.g. 'pizza near Central Park')"
},
count: {
type: "number",
description: "Number of results (1-20, default 5)",
default: 5
},
},
required: ["query"]
}
};
// Server implementation
const server = new Server(
{
name: "example-servers/brave-search",
version: "0.1.0",
},
{
capabilities: {
tools: {},
},
},
);
// Check for API key
const BRAVE_API_KEY = process.env.BRAVE_API_KEY!;
if (!BRAVE_API_KEY) {
console.error("Error: BRAVE_API_KEY environment variable is required");
process.exit(1);
}
const RATE_LIMIT = {
perSecond: 1,
perMonth: 15000
};
let requestCount = {
second: 0,
month: 0,
lastReset: Date.now()
};
function checkRateLimit() {
const now = Date.now();
if (now - requestCount.lastReset > 1000) {
requestCount.second = 0;
requestCount.lastReset = now;
}
if (requestCount.second >= RATE_LIMIT.perSecond ||
requestCount.month >= RATE_LIMIT.perMonth) {
throw new Error('Rate limit exceeded');
}
requestCount.second++;
requestCount.month++;
}
interface BraveWeb {
web?: {
results?: Array<{
title: string;
description: string;
url: string;
language?: string;
published?: string;
rank?: number;
}>;
};
locations?: {
results?: Array<{
id: string; // Required by API
title?: string;
}>;
};
}
interface BraveLocation {
id: string;
name: string;
address: {
streetAddress?: string;
addressLocality?: string;
addressRegion?: string;
postalCode?: string;
};
coordinates?: {
latitude: number;
longitude: number;
};
phone?: string;
rating?: {
ratingValue?: number;
ratingCount?: number;
};
openingHours?: string[];
priceRange?: string;
}
interface BravePoiResponse {
results: BraveLocation[];
}
interface BraveDescription {
descriptions: {[id: string]: string};
}
function isBraveWebSearchArgs(args: unknown): args is { query: string; count?: number } {
return (
typeof args === "object" &&
args !== null &&
"query" in args &&
typeof (args as { query: string }).query === "string"
);
}
function isBraveLocalSearchArgs(args: unknown): args is { query: string; count?: number } {
return (
typeof args === "object" &&
args !== null &&
"query" in args &&
typeof (args as { query: string }).query === "string"
);
}
async function performWebSearch(query: string, count: number = 10, offset: number = 0) {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/web/search');
url.searchParams.set('q', query);
url.searchParams.set('count', Math.min(count, 20).toString()); // API limit
url.searchParams.set('offset', offset.toString());
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const data = await response.json() as BraveWeb;
// Extract just web results
const results = (data.web?.results || []).map(result => ({
title: result.title || '',
description: result.description || '',
url: result.url || ''
}));
return results.map(r =>
`Title: ${r.title}\nDescription: ${r.description}\nURL: ${r.url}`
).join('\n\n');
}
async function performLocalSearch(query: string, count: number = 5) {
checkRateLimit();
// Initial search to get location IDs
const webUrl = new URL('https://api.search.brave.com/res/v1/web/search');
webUrl.searchParams.set('q', query);
webUrl.searchParams.set('search_lang', 'en');
webUrl.searchParams.set('result_filter', 'locations');
webUrl.searchParams.set('count', Math.min(count, 20).toString());
const webResponse = await fetch(webUrl, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!webResponse.ok) {
throw new Error(`Brave API error: ${webResponse.status} ${webResponse.statusText}\n${await webResponse.text()}`);
}
const webData = await webResponse.json() as BraveWeb;
const locationIds = webData.locations?.results?.filter((r): r is {id: string; title?: string} => r.id != null).map(r => r.id) || [];
if (locationIds.length === 0) {
return performWebSearch(query, count); // Fallback to web search
}
// Get POI details and descriptions in parallel
const [poisData, descriptionsData] = await Promise.all([
getPoisData(locationIds),
getDescriptionsData(locationIds)
]);
return formatLocalResults(poisData, descriptionsData);
}
async function getPoisData(ids: string[]): Promise<BravePoiResponse> {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/local/pois');
ids.filter(Boolean).forEach(id => url.searchParams.append('ids', id));
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const poisResponse = await response.json() as BravePoiResponse;
return poisResponse;
}
async function getDescriptionsData(ids: string[]): Promise<BraveDescription> {
checkRateLimit();
const url = new URL('https://api.search.brave.com/res/v1/local/descriptions');
ids.filter(Boolean).forEach(id => url.searchParams.append('ids', id));
const response = await fetch(url, {
headers: {
'Accept': 'application/json',
'Accept-Encoding': 'gzip',
'X-Subscription-Token': BRAVE_API_KEY
}
});
if (!response.ok) {
throw new Error(`Brave API error: ${response.status} ${response.statusText}\n${await response.text()}`);
}
const descriptionsData = await response.json() as BraveDescription;
return descriptionsData;
}
function formatLocalResults(poisData: BravePoiResponse, descData: BraveDescription): string {
return (poisData.results || []).map(poi => {
const address = [
poi.address?.streetAddress ?? '',
poi.address?.addressLocality ?? '',
poi.address?.addressRegion ?? '',
poi.address?.postalCode ?? ''
].filter(part => part !== '').join(', ') || 'N/A';
return `Name: ${poi.name}
Address: ${address}
Phone: ${poi.phone || 'N/A'}
Rating: ${poi.rating?.ratingValue ?? 'N/A'} (${poi.rating?.ratingCount ?? 0} reviews)
Price Range: ${poi.priceRange || 'N/A'}
Hours: ${(poi.openingHours || []).join(', ') || 'N/A'}
Description: ${descData.descriptions[poi.id] || 'No description available'}
`;
}).join('\n---\n') || 'No local results found';
}
// Tool handlers
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [WEB_SEARCH_TOOL, LOCAL_SEARCH_TOOL],
}));
server.setRequestHandler(CallToolRequestSchema, async (request) => {
try {
const { name, arguments: args } = request.params;
if (!args) {
throw new Error("No arguments provided");
}
switch (name) {
case "brave_web_search": {
if (!isBraveWebSearchArgs(args)) {
throw new Error("Invalid arguments for brave_web_search");
}
const { query, count = 10 } = args;
const results = await performWebSearch(query, count);
return {
content: [{ type: "text", text: results }],
isError: false,
};
}
case "brave_local_search": {
if (!isBraveLocalSearchArgs(args)) {
throw new Error("Invalid arguments for brave_local_search");
}
const { query, count = 5 } = args;
const results = await performLocalSearch(query, count);
return {
content: [{ type: "text", text: results }],
isError: false,
};
}
default:
return {
content: [{ type: "text", text: `Unknown tool: ${name}` }],
isError: true,
};
}
} catch (error) {
return {
content: [
{
type: "text",
text: `Error: ${error instanceof Error ? error.message : String(error)}`,
},
],
isError: true,
};
}
});
async function runServer() {
const transport = new StdioServerTransport();
await server.connect(transport);
console.error("Brave Search MCP Server running on stdio");
}
runServer().catch((error) => {
console.error("Fatal error running server:", error);
process.exit(1);
});

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@ -1,29 +0,0 @@
{
"name": "@modelcontextprotocol/server-brave-search",
"version": "0.6.2",
"description": "MCP server for Brave Search API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-brave-search": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}

View file

@ -1,10 +0,0 @@
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}

View file

@ -1,24 +0,0 @@
FROM node:22.12-alpine AS builder
COPY src/everart /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
CMD ["node", "dist/index.js"]

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