Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

MCP Nexus

The discovery and routing layer that keeps MCP servers out of your context window until you actually need them.

CI PyPI version Python 3.11+ Coverage License: MIT


The problem

The Model Context Protocol lets an LLM talk to any number of servers — GitHub, Slack, Postgres, your internal tools. The catch: most clients load every tool definition from every configured server at startup. Six servers can mean 70+ tool schemas and thousands of tokens spent before the conversation even starts, most of which the model never touches in a given session.

What MCP Nexus does

MCP Nexus sits in front of your MCP servers as a thin discovery layer. Instead of loading everything up front, the LLM asks for what it needs — by server or by tool — and MCP Nexus resolves the request and connects on demand. You keep your existing MCP servers unmodified; MCP Nexus only changes how (and when) their tools reach the model's context.

Two modes cover the two ways teams actually want this to work:

Discovery Mode Dynamic Mode
Granularity Whole server Individual tool
Tools always in context 4 (mcpd_find, mcpd_list, mcpd_connect, mcpd_get_schema) 1 (find_tools)
Best for "Connect me to GitHub" style workflows Cherry-picking one tool from many servers
After resolution LLM talks to the server directly — MCP Nexus exits the data path MCP Nexus lazy-connects and stays in the loop per tool call

v1.0.0 adds Lazy Schema Loading: Discovery Mode can hand back a stub tool list (names only, no schemas) and fetch a single tool's full schema only when it's about to be called — about 92% fewer tokens than loading everything.

How it works

Discovery Mode — server-level selection

Step 1  LLM -> mcpd_find("github issues")
               MCP Nexus searches the registry
               returns: { id: "github", tools: ["create_issue", "search_repos", ...] }

Step 2  LLM -> mcpd_connect("github")
               MCP Nexus starts the GitHub MCP server
               returns: 20 tools now available as github__create_issue, etc.

Step 3  LLM -> github__create_issue({ title: "...", body: "..." })
               MCP Nexus proxies to the GitHub MCP server, returns the result
Scenario Tools in context ~Tokens
All 6 servers loaded directly 78 ~4,778
Discovery Mode (before connect) 4 ~305
Discovery Mode (after connect — 1 server) 4 + 20 ~1,578

Lazy Schema Loading

No proxy, no changes to the target MCP server required:

  1. mcpd_find("github") → choose a server
  2. mcpd_connect("github", lazy_mode=true) → get a stub list (20 tools, no schemas, ~132 tokens)
  3. mcpd_get_schema("github", "create_issue") → fetch one full schema (~80 tokens)
  4. github__create_issue(...) → direct call, as always

Savings: ~92% vs. a full load (292 vs. 2,064 tokens for a typical 2-tool session). Pass --sync-on-start so the registry has schemas cached ahead of time via nexus-sync.

Dynamic Mode — tool-level selection

Step 1  LLM -> find_tools("create issue, post slack message")
               MCP Nexus searches the tool index across all servers
               returns: create_issue (github), post_message (slack)
               both tools added to tools/list

Step 2  LLM -> create_issue({ title: "Bug #42" })
               MCP Nexus lazy-connects to the GitHub MCP server
               executes create_issue, returns the result

Step 3  LLM -> post_message({ channel: "#eng", text: "Done" })
               MCP Nexus lazy-connects to the Slack MCP server
               executes post_message, returns the result
Scenario Tools in context ~Tokens
All 6 servers loaded directly 78 ~4,778
Dynamic Mode (before find) 1 ~100
Dynamic Mode (2 found tools) 3 ~300

Installation

# Core — keyword search, stdio transport
pip install mcpnexus

# With HTTP and SSE transport (remote MCP servers)
pip install mcpnexus[http]

# With semantic search (sentence-transformers)
pip install mcpnexus[embeddings]

# Full installation
pip install mcpnexus[all]

# Development
pip install mcpnexus[dev]

Quick start

1. Build your registry

The registry is a lightweight JSON catalog of your MCP servers and their tool summaries. Build it from your MCP client's config (e.g. Cursor: ~/.cursor/mcp.json, Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json):

nexus-sync --config /path/to/your/mcp-config.json --output registry/mcpd-registry.json

2. Point your MCP client at MCP Nexus

Discovery Mode (4 tools, connect to one server at a time):

{
  "mcpServers": {
    "nexus-server": {
      "command": "nexus-server",
      "args": ["--registry", "/path/to/mcpd-registry.json", "--sync-on-start"]
    }
  }
}

Dynamic Mode (1 tool, cherry-pick tools across all servers):

{
  "mcpServers": {
    "nexus-gateway": {
      "command": "nexus-gateway",
      "args": ["--registry", "/path/to/mcpd-registry.json"]
    }
  }
}

Or invoke the Python module directly (avoids PATH issues):

{
  "mcpServers": {
    "nexus-gateway": {
      "command": "python",
      "args": ["-m", "mcpnexus.dynamic.server", "--registry", "/path/to/mcpd-registry.json"]
    }
  }
}

3. Measure the token savings

nexus-benchmark --registry registry/mcpd-registry.json

(Generate your registry first with nexus-sync.)

Architecture

┌─────────────────────────────────────────────────────────────┐
│                        LLM / AI Client                       │
└──────────────────────┬──────────────────────────────────────┘
                       │ MCP (stdio / JSON-RPC 2.0)
          ┌────────────┴─────────────┐
          │                          │
   ┌──────▼──────┐           ┌───────▼──────┐
   │  Discovery  │           │   Dynamic    │
   │    Mode     │           │    Mode      │
   │             │           │              │
   │ mcpd_find   │           │ find_tools   │
   │ mcpd_list   │           │              │
   │ mcpd_connect│           │ LazyPool     │
   │ mcpd_get_schema│        │              │
   └──────┬──────┘           └───────┬──────┘
          │                          │
          └────────────┬─────────────┘
                       │
          ┌────────────▼─────────────┐
          │        Shared Core        │
          │                           │
          │  Registry (mcpd-registry) │
          │  KeywordSearchEngine      │
          │  ToolSearchEngine         │
          │  HybridSearch (TF-IDF +   │
          │    sentence-transformers) │
          │  NexusConnector           │
          │   ├─ stdio transport      │
          │   ├─ streamable-http      │
          │   └─ SSE transport        │
          └───────────────────────────┘

Design principles

A discovery layer, not a permanent proxy. In Discovery Mode, once mcpd_connect resolves, the LLM gets direct tool access to the connected server. In Dynamic Mode, server connections stay lazy — a server process starts only when one of its tools is actually called.

Offline-first registry. Tool summaries (name, description, tags) are captured at sync time. Searches run against the cached registry with zero network traffic; full tool schemas load only on connection.

Search degrades gracefully. Keyword search (TF-IDF with synonyms) is the default — always available, no extra dependencies. Semantic search is optional (pip install mcpnexus[embeddings]): when installed, sentence-transformers embeddings blend with keyword results, which helps for natural-language queries like "narzędzie do czytania stron internetowych" → Playwright. Keyword-first keeps installs frictionless when you don't need it.

Registry format

The registry file (mcpd-registry.json) is a JSON catalog of MCP servers:

{
  "mcpd_version": "1.0",
  "metadata": {
    "name": "My MCP Registry",
    "description": "Personal registry of MCP servers"
  },
  "servers": [
    {
      "id": "github",
      "name": "GitHub MCP Server",
      "description": "Official GitHub MCP server (remote). Repositories, issues, pull requests, and code search",
      "version": "remote-2025-11",
      "transport": {
        "type": "streamable-http",
        "url": "https://api.githubcopilot.com/mcp/",
        "headers": { "Authorization": "Bearer ${GITHUB_MCP_PAT}" }
      },
      "tags": ["github", "git", "code", "issues"],
      "tools_summary": [
        {
          "name": "issue_write",
          "description": "Create or update an issue or pull request",
          "tags": ["issues", "create"]
        }
      ],
      "estimated_tools_count": 90,
      "enabled": true,
      "last_synced": "2026-06-11T00:00:00Z"
    }
  ]
}

Full schema: registry/schemas/mcpd-schema.json

Project structure

mcpnexus/
├── mcpnexus/                    # Python package
│   ├── __init__.py              # Public API and version
│   ├── models.py                # Shared dataclasses
│   ├── registry.py               # Registry loader (mcpd-registry.json)
│   ├── connector.py              # MCP connector — stdio, HTTP, SSE transports
│   ├── sync.py                   # Registry builder (sync from mcp.json)
│   ├── benchmark.py              # Token savings measurement
│   ├── search/
│   │   ├── keyword_search.py    # Server-level TF-IDF search
│   │   ├── tool_search.py       # Tool-level TF-IDF search
│   │   ├── embeddings.py        # Sentence-transformer embedding engine
│   │   └── hybrid.py            # Hybrid keyword + semantic search
│   ├── discovery/
│   │   └── server.py            # Discovery Mode MCP server
│   └── dynamic/
│       ├── server.py            # Dynamic Mode MCP server
│       ├── tool_index.py        # O(1) tool lookup index
│       └── lazy_pool.py         # On-demand connection pool
├── registry/
│   ├── mcpd-registry.example.json  # Example registry
│   └── schemas/
│       └── mcpd-schema.json     # JSON Schema for registry validation
├── docs/
│   ├── specification.md         # Protocol specification
│   ├── architecture.md          # Architecture deep-dive
│   ├── registry-format.md       # Registry format reference
│   └── dynamic-mcp.md           # Dynamic Mode guide
├── examples/
│   ├── cursor-config-discovery.json
│   ├── cursor-config-dynamic.json
│   └── README.md
├── tests/                       # 491 tests, 100% coverage
└── pyproject.toml

Development

git clone https://github.com/KrzysztofAugiewicz/MCPNexus.git
cd MCPNexus
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=mcpnexus --cov-report=term-missing

# Run end-to-end integration test
python test_e2e.py

# Benchmark token savings (generate registry first with nexus-sync)
nexus-benchmark --registry registry/mcpd-registry.json

CLI reference

Command Description
nexus-server Start the Discovery Mode MCP server
nexus-gateway Start the Dynamic Mode MCP server
nexus-sync Build or update the registry from an mcp.json config
nexus-benchmark Measure token savings for a given registry

All commands accept --help for the full option reference.

Transport support

Transport Install extra Use case
stdio (core) Local process-based MCP servers
Streamable HTTP mcpnexus[http] Remote HTTP MCP servers
SSE mcpnexus[http] Legacy remote servers (Server-Sent Events)

Transport type is resolved automatically from the registry entry's transport.type field.

Documentation

Publishing to PyPI

Releases are published automatically when a GitHub Release is created. Prerequisites:

  1. Add PYPI_API_TOKEN to repository secrets (create at pypi.org/manage/account/token)
  2. Create a release with a tag (e.g. v1.0.0)

The publish workflow builds and uploads to PyPI.

Contributing

Contributions are welcome. Please read CONTRIBUTING.md before opening a pull request. For bug reports and feature requests, use GitHub Issues.

Authors

  • Krzysztof Augiewicz — główny maintainer — LinkedIn · GitHub
  • Kacper Pisarczyk — współtwórca — LinkedIn
  • Sebastian Pawłowski — wsparcie technologiczne — LinkedIn
  • Mateusz Wiszniowski — współtwórca

Full details in AUTHORS.md.

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcpnexus-1.0.0.tar.gz (112.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcpnexus-1.0.0-py3-none-any.whl (63.9 kB view details)

Uploaded Python 3

File details

Details for the file mcpnexus-1.0.0.tar.gz.

File metadata

  • Download URL: mcpnexus-1.0.0.tar.gz
  • Upload date:
  • Size: 112.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for mcpnexus-1.0.0.tar.gz
Algorithm Hash digest
SHA256 1516050fb5fc6275477fa83c712f74eb513bf49c0d992bcfb4faa64cab34a995
MD5 5c06808d75f11aee64bf8d9bf80b309b
BLAKE2b-256 67fab00af5beb3ebe6bf9e224425555297df06316b8ec46933fa41659e798893

See more details on using hashes here.

File details

Details for the file mcpnexus-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: mcpnexus-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 63.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for mcpnexus-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b472bcba0625656140a51f8358e5f6bfac3bd295d7fd532ebdab9919631c8305
MD5 60d40042a20177bb6cf82ecfb0361802
BLAKE2b-256 668f3c23b2d1fc36887dfeec7e60fff18847e340c5a60f7ea409227487b3a2ff

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page