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MCP Orchestrator

by rupinder2version 0.1.2i★ –iRuns on your computer
Registry nameio.github.rupinder2/mcp-orchestrator

Install

Overview

Description from the maker (original English)

Aggregates tools from multiple MCP servers with unified BM25/regex search and deferred loading.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: STORAGE_BACKEND, REDIS_URL, SERVER_CONFIG_PATH

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "orchestrator": {
      "command": "uvx",
      "args": [
        "mcp-orchestrator"
      ],
      "env": {
        "STORAGE_BACKEND": "your-value",
        "REDIS_URL": "your-value",
        "SERVER_CONFIG_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add orchestrator --env STORAGE_BACKEND=your-value --env REDIS_URL=your-value --env SERVER_CONFIG_PATH=your-value -- uvx mcp-orchestrator

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "orchestrator": {
      "command": "uvx",
      "args": [
        "mcp-orchestrator"
      ],
      "env": {
        "STORAGE_BACKEND": "your-value",
        "REDIS_URL": "your-value",
        "SERVER_CONFIG_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "orchestrator": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcp-orchestrator"
      ],
      "env": {
        "STORAGE_BACKEND": "your-value",
        "REDIS_URL": "your-value",
        "SERVER_CONFIG_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • STORAGE_BACKEND env
    Storage backend for tool cache. Use 'memory' for development or 'redis' for production.
  • REDIS_URL env
    Redis connection URL. Required only when STORAGE_BACKEND=redis.
  • SERVER_CONFIG_PATH env
    Path to the server_config.json file listing downstream MCP servers.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rupinder2, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7266 servers in this category
  • Published to the registry more recently than 3% of the other 7266 servers in this category
  • Basic checks equal to or better than 100% of the other 7266 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Orchestrator safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

MCP Orchestrator

A central hub that connects to multiple downstream MCP servers, aggregates their tools, and provides unified access with powerful tool search capabilities.

Built around deferred tool loading — search across all your servers without blowing Claude's context window.

Features

  • Config-based Server Registration: Add downstream MCP servers via JSON config file
  • Tool Namespacing: Automatic server_name__tool_name format
  • Tool Search: Unified BM25/regex search with deferred loading support
  • Flexible Authentication: Static saved headers or token forwarding
  • Multiple Transports: stdio or HTTP
  • Tool Definition Caching: Cached definitions, raw result passthrough
  • Storage Backends: In-memory (development) or Redis (production)

Quick Start

Installation
pip install mcp-orchestrator
Running the MCP Server
# Run as stdio MCP server (for Claude Desktop, Cursor, etc.)

mcp-orchestrator

Or run with Python directly

python -m mcp_orchestrator.main

HTTP Transport:

ORCHESTRATOR_TRANSPORT=http ORCHESTRATOR_PORT=8080 python -m mcp_orchestrator.main

This starts the server on http://localhost:8080/mcp with CORS enabled.

Configuring Servers

Add downstream MCP servers in server_config.json:

{

"servers": [ { "name": "my-server", "url": "http://localhost:8080/mcp", "transport": "http", "auth_type": "static", "auth_headers": { "Authorization": "Bearer my-token" } }, { "name": "my-stdio-server", "url": "server.py", "transport": "stdio", "command": "uv", "args": ["run", "python", "server.py"] } ] }

Searching for Tools

The orchestrator provides unified tool search (BM25 by default, regex optional):

# BM25 search (default - natural language)

results = await mcp_client.call_tool("tool_search", { "query": "get weather information", "max_results": 3 })

Regex search (set use_regex=true)

results = await mcp_client.call_tool("tool_search", { "query": "weather|forecast", "use_regex": true, "max_results": 3 })

Architecture

┌─────────────────────────────────────────────────────┐

│ MCP Orchestrator │ │ │ │ ┌──────────────────────────────────────────────┐ │ │ │ FastMCP Server │ │ │ │ ┌─────────────┐ ┌──────────────────┐ │ │ │ │ │ tool_search │ │ call_remote_tool │ │ │ │ │ └─────────────┘ └──────────────────┘ │ │ │ └──────────────────────────────────────────────┘ │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────────┐ │ │ │ Server │ │ Tool │ │ Storage │ │ │ │ Registry │ │ Search │ │(Memory/Redis)│ │ │ └──────────┘ └──────────┘ └──────────────┘ │ └─────────────────────────────────────────────────────┘ │ ┌───────────────────┼───────────────────┐ ▼ ▼ ▼ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ MCP Svr │ │ MCP Svr │ │ MCP Svr │ │ #1 │ │ #2 │ │ #N │ └─────────┘ └─────────┘ └─────────┘

Configuration

Environment Variables
VariableDefaultDescription
STORAGE_BACKENDmemoryStorage backend (memory or redis)
REDIS_URLredis://localhost:6379/0Redis connection URL
MCP_ORCHESTRATOR_TOOL_CACHE_TTL300Tool schema cache TTL in seconds
MCP_ORCHESTRATOR_DEFAULT_CONNECTION_MODEstatelessDefault connection mode
MCP_ORCHESTRATOR_CONNECTION_TIMEOUT30.0Connection timeout in seconds
MCP_ORCHESTRATOR_MAX_RETRIES3Maximum retry attempts
ORCHESTRATOR_TRANSPORTstdioMCP transport (stdio or http)
ORCHESTRATOR_PORT8080Port for HTTP transport
ORCHESTRATOR_HOST0.0.0.0Host for HTTP transport
ORCHESTRATOR_LOG_LEVELINFOLogging level
SERVER_CONFIG_PATHserver_config.jsonPath to server configuration file
Claude Desktop Integration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{

"mcpServers": { "mcp-orchestrator": { "command": "mcp-orchestrator", "env": { "STORAGE_BACKEND": "memory", "ORCHESTRATOR_LOG_LEVEL": "INFO" } } } }

MCP Tools

tool_search

Search for tools using BM25 relevance ranking or regex pattern matching.

@mcp.tool()

async def tool_search( query: str, max_results: int = 3, use_regex: bool = False, ) -> dict: """Search for tools using BM25 or regex.

By default uses BM25 natural language search. Set use_regex=True to search using Python regex patterns instead. """

discover_tools

Discover tools from a registered downstream server.

@mcp.tool()

async def discover_tools( server_name: str, ) -> dict: """Discover tools from a registered server and index them for search.

Returns the list of discovered tools with their schemas. """

call_remote_tool

Call a tool directly on a downstream MCP server.

@mcp.tool()

async def call_remote_tool( tool_name: str, arguments: Optional[dict] = None, auth_header: Optional[str] = None, ) -> Any: """Call a tool on a downstream server.

Args: tool_name: Namespaced tool name (server_name__tool_name) arguments: Tool arguments auth_header: Optional auth header to override server's configured auth """

Tool Search Results

The search tools return results in the format expected by Claude's tool search system:

{

"success": true, "tool_references": [ { "type": "tool_reference", "tool_name": "server_name__tool_name" } ], "total_matches": 5, "query": "weather" }

Testing

Run the test suite:

uv run pytest

Run with coverage:

uv run pytest --cov=mcp_orchestrator

Project Structure

mcp-orchestrator/

├── src/mcp_orchestrator/ │ ├── init.py │ ├── main.py # Entry point │ ├── models.py # Pydantic models │ ├── mcp_server.py # FastMCP server │ ├── config_loader.py # Config file loader │ ├── server/ │ │ └── registry.py # Server registry │ ├── tools/ │ │ ├── router.py # Tool router │ │ └── search.py # Tool search service │ └── storage/ │ ├── base.py # Storage interface │ ├── memory.py # In-memory backend │ └── redis.py # Redis backend ├── tests/ │ ├── test_registry.py │ ├── test_search.py │ ├── test_storage.py │ ├── test_models.py │ └── test_integration.py ├── server_config.json # Pre-configured downstream servers ├── pyproject.toml ├── README.md └── .env # Environment variables (not committed)

License

MIT License

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

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