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  1. Home
  2. Biology, Medicine and Bioinformatics
  3. Synergy Age MCP
Synergy Age MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 10:16:37 PM

Synergy Age MCP

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View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).Visit Website
researchlongevitygeneticsbiologysqlite

Queries SynergyAge longevity data through read-only SQL, schema tools, example queries, and MCP resources.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "longevity-genie-synergy-age-mcp": {
      "command": "uvx",
      "args": [
        "--version"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives📂 More in Biology, Medicine and Bioinformatics

Overview

The longevity-genie/synergy-age-mcp MCP server exposes SynergyAge genetic-interaction and lifespan data through the Model Context Protocol. It downloads the SQLite database and schema documentation from Hugging Face, caches the files locally, and supports local fallback files. Agents can inspect the schema, retrieve example SQL, and run read-only queries covering interventions, model organisms, lifespan effects, and genetic interactions. Reach for it when an AI assistant needs structured access to experimentally validated longevity research data.

Use cases

•Query genetic interventions associated with lifespan changes
•Compare synergistic and antagonistic gene combinations
•Inspect SynergyAge tables before writing SQL
•Retrieve example queries for longevity research
•Analyze aging data across model organisms

Key features

•Read-only SQL access to the SynergyAge SQLite database
•Schema and table metadata lookup
•Example SQL query retrieval
•Automatic Hugging Face data download and local caching
•STDIO, HTTP, and SSE launch modes
•MCP resources for schema documentation

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Synergy Age MCP.

Extracted Tool Capabilities
Read-only SQL access to the SynergyAge SQLite database
Schema and table metadata lookup
Example SQL query retrieval
Automatic Hugging Face data download and local caching
STDIO, HTTP, and SSE launch modes
MCP resources for schema documentation

How Synergy Age MCP works

What longevity-genie/synergy-age-mcp MCP server does

The longevity-genie/synergy-age-mcp MCP server connects MCP-compatible assistants and agents to the SynergyAge database. SynergyAge contains curated, experimentally validated records about genetic interventions that affect lifespan, including single-gene mutants and combinations of genes. Its interaction data covers synergistic, antagonistic, additive, and epistatic relationships.

The dataset includes research involving organisms such as C. elegans, Drosophila melanogaster, and mice. Records can include quantitative lifespan effects and relationships between interventions. This makes the server suitable for querying longevity experiments, comparing intervention combinations, and investigating how genetic changes relate to lifespan outcomes.

How it works

At startup or when data is needed, the longevity-genie/synergy-age-mcp MCP server obtains the current database files from the synergy-age directory in the longevity-genie/bio-mcp-data repository on Hugging Face Hub. The main files are synergy-age.sqlite and synergyage_prompt.txt. Downloaded files are cached locally to reduce repeated network access, and local fallback files can be used for development or offline operation.

The server presents the database through MCP rather than requiring an assistant to manage SQLite files directly. Natural-language requests can be translated by an MCP client into SQL queries, while the server executes those queries in read-only mode. The server also publishes resource://db-prompt for schema documentation and usage guidance, plus resource://schema-summary for a formatted table summary.

It can run over standard input/output, streamable HTTP, or Server-Sent Events. HTTP mode uses port 3002 by default and exposes the MCP endpoint at /mcp; the README also identifies /docs as the documentation location.

Setup and configuration

The package requires Python 3.10 or newer and can be launched with uvx without cloning the repository:

bash
uvx synergy-age-mcp stdio

Use the stdio subcommand for clients that communicate through standard input and output. Other documented launch modes are uvx synergy-age-mcp for the default streamed HTTP behavior, uvx synergy-age-mcp server for HTTP mode, and uvx synergy-age-mcp sse for SSE mode. HTTP mode accepts a --port option, such as --port 8000.

The repository includes configuration examples for MCP clients including Claude Desktop, Cursor, and Windsurf. If uvx encounters cache-related problems, the README suggests running uv cache clean.

Tools and capabilities

The longevity-genie/synergy-age-mcp MCP server provides three database tools:

  • synergyage_db_query(sql: str): runs a read-only SQL statement against the SynergyAge SQLite database.
  • synergyage_get_schema_info(): returns table, column, and data-description details.
  • synergyage_example_queries(): supplies example SQL queries with explanations.

The underlying SynergyAge project also supports text searches involving multiple genes separated by commas or semicolons, grouped result categories for single- and multi-gene mutants, network visualization of model relationships, epistasis analysis, and links to KEGG and model-specific databases. These capabilities describe the broader SynergyAge data system; the MCP interface specifically exposes the listed tools and resources.

Limitations and notes

Queries are read-only, so the server is intended for data retrieval and analysis rather than modifying the database. The data depends on the files available in the Hugging Face source and may require network access when a cached or local copy is unavailable. The README notes that the server does not currently provide a Swagger/OpenAPI interface; MCP Inspector or an MCP client should be used to explore its tools.

SynergyAge focuses on curated experimental research and model-organism lifespan data. Results should therefore be interpreted as database records from aging research, not as clinical recommendations or evidence about human treatment outcomes.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
10
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Synergy Age MCP

Install and run it with uvx using `uvx synergy-age-mcp stdio`. The package requires Python 3.10 or newer.

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Technical Specs & Signals

Category📂Biology, Medicine and Bioinformatics
PricingFree
More technical detailsExpand ▾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf
Last updatedSep 7, 2026
11/11 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 25, 2025
40Quality signal: Fair · 40/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 20d ago via OSV.dev · --version (PyPI)

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