Recommended MCP Aggregator/Orchestrator

[BradKML]

We are not talking about a package manager this time, like #4067

Most IDEs recommend fewer than 40 functions, but often with complex projects, there are too many tools needed to push projects forward.
Database + Server + File Management + Project/Document Management
Here is an example MCP when it comes to this idea of selectively showing the right functions to the agent https://github.com/metatool-ai/metamcp

Special thanks to @NamesMT

Cross-ref ravitemer/mcp-hub#109 pathintegral-institute/mcpm.sh#227

[BradKML]

@dosu please do a comprehensive analysis of MCP "aggregator/orchestrator/gateway" (specifically referring to when we want to reduce the number of MCP functions shown to the agents dynamically), and check the links provided in the discussion, as well as further web research.

[dosubot[bot]]

Here's a concise analysis based on the available documentation and context:

MCP (Model Context Protocol) is designed to enable AI agents to interact with a wide range of tools through a stateful, JSON-RPC-based protocol. It supports runtime discovery of available tools, which allows for dynamic integration and selective exposure of functions to agents within a session. This is critical for complex projects where presenting too many functions can overwhelm both the agent and the user, and where context preservation across tool invocations is essential for workflows like debugging or multi-step automation. MCP's architecture allows for persistent sessions, dynamic tool discovery, and context-aware tool selection, which are foundational for any aggregator/orchestrator/gateway aiming to filter or reduce the number of functions shown to agents dynamically. Best practices for defining MCP tools emphasize clear, concise descriptions and well-defined parameters to help agents efficiently select the right tool for the job, further supporting dynamic filtering and usability in large tool ecosystems. For more on these architectural principles, see the official documentation.

If you need a detailed comparison of specific aggregator projects (MetaMCP, MCP Hub, MCPM) and their filtering mechanisms, let me know and I can dig into their public discussions and codebases for implementation details and real-world usage patterns.

To reply, just mention @dosu.

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[BradKML]

To be clear @dosu I meant an analysis of options of MCP "aggregator/orchestrator/gateway" that dynamically adjust the variety and number of MCP functions for agents, based on the links in this discussion (MetaMCP, MCPM.sh, etc.) as well as similar MCPs that fit the description.

[dosubot[bot]]

Here’s a concise analysis based on the available information:

MetaMCP, MCPM.sh, and MCP Hub are all MCP aggregator/orchestrator/gateway projects designed to help manage and expose large sets of MCP functions to agents in a scalable way, with a focus on dynamic filtering to avoid overwhelming the agent’s context. MetaMCP stands out for its Docker-based proxy architecture, supporting dynamic grouping, middleware, and namespace management, which enables selective exposure of toolsets and flexible protocol compatibility. MCPM.sh is highlighted in discussions as an alternative that can handle thousands of tools and emphasizes selective tool presentation to improve agent efficiency in complex environments. MCP Hub is also referenced for its filtering and subset selection features, aiming to prevent agent overload in projects with many integrated tools.

All three projects are designed to support modular, multi-tenant setups and provide mechanisms for grouping or filtering functions, though the specific implementation details and runtime adjustment strategies may vary. The official Roo Code documentation confirms that MCP supports runtime discovery and selective exposure of tools, which is foundational for these aggregators, but does not provide project-specific details or direct comparisons between these solutions (source).

For deeper technical details or real-world usage patterns, reviewing the README, issues, and discussions in each project’s repository is recommended, as these sources often contain the most up-to-date information on dynamic filtering and orchestration mechanisms.

To reply, just mention @dosu.

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[BradKML]

@dosu given the following links, create a table to show their features and abilities

• https://github.com/ravitemer/mcp-hub
• https://github.com/pathintegral-institute/mcpm.sh
• https://github.com/metatool-ai/metamcp
• https://github.com/TBXark/mcp-proxy

[dosubot[bot]]

Here’s a comparative table of the four MCP aggregator/orchestrator/gateway projects based on the available information:

Project	Deployment & Language	Protocols Supported	Authentication	Registry/Marketplace	Client Support	Dynamic Function Filtering/Grouping	Middleware/Extensibility	Notable Features
MCP Hub ravitemer/mcp-hub	Node.js, deployable locally or remotely	streamable-http, SSE, STDIO	OAuth2, header-based	MCP Registry integration	Any MCP client (via unified /mcp endpoint)	Real-time capability/resource/prompts updates, server discovery, workspace tracking, automatic namespacing	Flexible config with ${} placeholders (VS Code compatible)	REST API & web UI, server lifecycle & health monitoring, SSE event streaming, logging, error handling, dynamic server management, workspace lifecycle tracking
MCPM.sh pathintegral-institute/mcpm.sh	Python CLI, install via curl, brew, pipx, uv, pip, x-cmd	MCP (via CLI), supports multiple MCP clients	Not specified	Yes, via MCP Registry at mcpm.sh/registry	Claude Desktop, Cursor, Windsurf, VSCode, etc.	Profile management, selective tool presentation, sharing via tunnels	Extensible via Python (Click, Rich)	Organize/run servers, monitor usage, global config, discovery, execution, version managed, virtualenv dev setup
MetaMCP metatool-ai/metamcp	Docker-based, Docker Compose, custom Dockerfiles	SSE, Streamable HTTP	API keys, OIDC (enterprise SSO)	Planned marketplace/registry	Any MCP client	Dynamic grouping, namespace management, request/response middleware, selective tool exposure	Middleware, inspector/debug tools, planned advanced middleware/search	Unified endpoints, acts as MCP server, easy integration, modular/multi-tenant, flexible deployment, protocol compatibility
MCP Proxy TBXark/mcp-proxy	Go, deploy via source, Go install, Docker	streamable-http, SSE	Auth tokens	Not specified	Any MCP client via HTTP	Tool filtering, real-time updates, flexible client config (command, URL, headers, filtering)	JSON-based config, customizable per tool/capability	Aggregates multiple MCP servers, unified HTTP interface, supports streaming, simple config

Notes:

• All projects support aggregation of multiple MCP servers and aim to simplify or filter the set of functions/tools exposed to agents.
• MetaMCP and MCP Hub emphasize dynamic grouping, namespace management, and real-time updates.
• MCPM.sh is CLI-focused and strong on profile management and sharing, with broad client support.
• MCP Proxy is lightweight, with flexible JSON config and tool filtering.
• Some details (like exact filtering mechanisms or extensibility) may require deeper review of each repo’s docs or code.

Let me know if you want a deeper dive into any specific project or feature!

To reply, just mention @dosu.

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[tne-ops]

Wow dosu so amazing how do we use it