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STRING Database MCP Server

by meringlabversion 1.13.1i★ –iRuns in the cloud
Registry nameorg.string-db/string-mcp

Install

Overview

Description from the maker (original English)

Query STRING interactions, enrichment, annotations, homology, and PPI networks.

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.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Databases & datasets

Install

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

Before you install

  • Basic checks: 2 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 17 things (tools) string_resolve_proteins, string_interactions_query_set, string_all_interaction_partners, string_visual_network …
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.string-db.org/

Run this in your terminal

claude mcp add --transport http string https://mcp.string-db.org/

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "string": {
      "url": "https://mcp.string-db.org/"
    }
  }
}

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": {
    "string": {
      "type": "http",
      "url": "https://mcp.string-db.org/"
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://mcp.string-db.org/

Menu names can differ slightly by plan and over time.

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

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

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • string_resolve_proteins

    Maps one or more protein identifiers to their corresponding STRING metadata, including: gene symbol, description, sequence, domains, species, and internal STRING ID. This method is useful for translating raw identifiers into readable, annotated protein entries. Example input: "TP

  • string_interactions_query_set

    Retrieves the interactions between the query proteins. Use this method only when you specifically need to list the interactions between all proteins in your query set. - For a **single protein**, the network includes that protein and its top 10 most likely interaction partners, p

  • string_all_interaction_partners

    Retrieves all interaction partners for one or more proteins from STRING. This tool returns all known interactions between your query protein(s) and **any other proteins in the STRING database**. - Use this when asking **“What does TP53 interact with?”** - It differs from `string_

  • string_visual_network

    Retrieves a URL to a **STRING interaction network image** for one or more proteins. - For a single protein: includes the protein and its top 10 most likely interactors. - For multiple proteins: includes all known interactions **within the query set**. The input may include one nu

  • string_network_clustering

    Performs **network clustering** on a STRING interaction network and returns a network image URL, an interactive STRING network URL, and details about each detected cluster. Provide a table with each detected cluster’s color, STRING-derived functional description, and any returned

  • string_network_link

    Retrieves a stable URL to an interactive STRING network for one or more proteins. - For a single protein: includes the protein and its top 10 most likely interactors. - For multiple proteins: includes all known interactions **within the query set**. The input may include one nume

  • string_homology

    Retrieves pairwise protein similarity scores (Smith–Waterman bit scores) for the query proteins. - If no target species (`species_b`) is provided, results are intra-species (within the query species). - To retrieve homologs in other species or clades (e.g. vertebrates, yeast, pla

  • string_interaction_evidence

    Retrieves direct links to STRING evidence pages for protein–protein interaction pairs. Use this tool only when a STRING evidence page/link is needed. To determine whether an interaction is supported, use `string_interactions_query_set`. It returns URLs linking to STRING’s evidenc

  • string_enrichment

    This tool retrieves functional enrichment for a set of proteins using STRING. - If queried with a single protein, the tool expands the query to include the protein’s 10 most likely interactors; enrichment is performed on this set, not the original single protein. - For two or mor

  • string_functional_annotation

    This tool retrieves curated functional annotations for a set of proteins. Each input protein is mapped to known biological terms from ontologies, pathway databases, tissues, compartments and domains — such as Gene Ontology (GO), KEGG, and UniProt Keywords. - Use this when the use

  • string_enrichment_image_url

    Retrieves a STRING enrichment figure (image URL) for a set of proteins. For the enriched terms and FDR values, use `string_enrichment`. - Each figure shows a single enrichment category; call again with another `category` to show a different one. - Use the same proteins and specie

  • string_ppi_enrichment

    This tool tests if your network is enriched in protein-protein interactions compared to the background proteome-wide distribution (i.e., if your proteins are more functionally connected than expected by chance). - The enrichment is assessed using the actual observed edges versus

  • string_proteins_for_term

    Retrieve proteins annotated with a functional term or descriptive text in a single species. You can query for tissues, compartments, diseases, processes, pathways, and domains. IMPORTANT: For cross-species comparisons, run this tool separately for each species. Select relevant mo

  • string_sequence_search

    Searches the STRING database using **amino acid sequences** to identify matching proteins. - Accepts a single sequence or multiple sequences in FASTA format. - Returns the most similar STRING protein(s) for the specified species, based on sequence similarity. - Use this when the

  • string_query_species

    Search for species or clades available in STRING by free-text query and return their NCBI taxonomy IDs. - Use this when the user asks which species or clades are present in STRING, or when you need the correct NCBI taxon ID to pass to other tools. - use this to resolve NCBI taxon

  • string_create_file

    Creates a downloadable file for STRING-derived results. Use this tool when the user explicitly asks to download, save, export, or receive a file containing STRING data, tables, protein lists, enrichment results, networks, etc. When a response would otherwise include a publication

  • string_help

    Provides explanatory text for STRING features and limitations. Use this tool when the user question involves: - What is STRING is or how to use the tool (how_to_use_string, cytoscape) - functionality not available via MCP tools (e.g. GSEA or large datasets). - meaning of network

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

  • ! Caution

    Maker matches the repo

    The publisher (string-db.org) is not the repo owner (meringlab); someone else may have listed it

  • … 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

  • ✓ Pass

    Endpoint responds

    Responded in 862 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 17 tool descriptions and found no hidden instructions to the AI

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 954 servers in this category
  • Published to the registry more recently than 80% of the other 954 servers in this category
  • Basic checks equal to or better than 42% of the other 954 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 STRING Database MCP Server safe?

It passed 2 of 3 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.13.1) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

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

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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.

Official STRING Database MCP Server

Exposes STRING database functionality as a Model Context Protocol (MCP) server.

This implementation allows AI agents and other MCP-compatible clients to access STRING data through a structured and self-describing interface.

It is built on top of the STRING API but adapted specifically for model-based use, with emphasis on conciseness and context efficiency. The server controls the amount and type of data so that responses stay within the reasoning limits of large language models. It also adapts the structure and adds metadata to support more consistent parsing and interpretation by agentic systems.

The server is also available as a hosted remote MCP endpoint at https://mcp.string-db.org.

For a live demonstration of MCP capabilities, see STRING Chat.

For reproducible workflows and large-scale integration, use the STRING API.

For agentic workflows, use the optional agent skill at skills/string-database/SKILL.md.

Features

  • Resolve protein identifiers to STRING metadata
  • Retrieve interaction networks
  • Cluster and visualize interaction networks
  • Perform homology lookups across species
  • Access evidence links for protein–protein interactions
  • Run functional enrichment analysis (including enrichment plots)
  • Get curated functional annotations for proteins
  • Query proteins by function or disease (GO, KEGG, Reactome, DISEASES etc.)

Requirements

  • Python ≥ 3.11 (with Python 3.10, optional parameter descriptions are misplaced in the tool schemas)
  • Dependencies (see requirements.txt):
  • fastmcp==2.14.7
  • mcp==1.29.0
  • httpx>=0.28,<0.29
  • pydantic>=2.11,<3.0

Note: If the server crashes on startup, it is very likely due to an incompatible FastMCP version.


Configuration

The server reads settings from config/server.config (JSON). Example:

{

"base_url": "https://string-db.org", "server_port": 57416, "verbosity": "low" }

Installation

git clone https://github.com/meringlab/string-mcp.git

cd string-mcp pip install -r requirements.txt

Running

python server.py

To serve over standard input/output instead of HTTP, for example when a local MCP client starts the server itself:

python server.py --stdio

The stdio mode also reads config/server.config for the STRING API endpoint.

Testing

   curl -v -H "Accept: text/event-stream" http://localhost:[port]/mcp

You should see a 200 OK response with content-type: text/event-stream.

Note: HTTP requests sent with default headers will trigger anyio.ClosedResourceError and 406 Not Acceptable. This is expected behavior for the MCP streaming protocol and does not indicate a problem.

Docker

  1. Ensure you have a config/server.config file (copy from config/server.config.example if needed):
   cp config/server.config.example config/server.config
  1. Build the image:
   docker build -t string-mcp .
  1. Run the container:

Linux/macOS:

   docker run -p 57416:57416 -v $(pwd)/config:/app/config:ro string-mcp

Windows PowerShell:

   docker run -p 57416:57416 -v ${PWD}/config:/app/config:ro string-mcp

Windows Command Prompt:

   docker run -p 57416:57416 -v %cd%/config:/app/config:ro string-mcp

To run in detached mode:

   # Linux/macOS

docker run -d -p 57416:57416 -v $(pwd)/config:/app/config:ro --name string-mcp-server string-mcp

Windows PowerShell

docker run -d -p 57416:57416 -v ${PWD}/config:/app/config:ro --name string-mcp-server string-mcp

The -v flag mounts your local config directory so you can customize settings without rebuilding the image.

Note: If you don't need to modify the config, you can omit the volume mount and the container will use the default config from the image.

  1. Stop the container (if running in detached mode):
   docker stop string-mcp-server

docker rm string-mcp-server

Note: The Docker container will use the configuration from config/server.config. If this file doesn't exist, the container will copy from server.config.example on first run.

Frozen STRING releases are available under versioned paths: /12.0/ (STRING v12.0) and /12.5/ (STRING v12.5).

License / Citation

The STRING MCP server source code is released under the MIT License. Associated data and outputs are released under the CC BY 4.0 License. You are free to use, share, and modify the code with proper attribution.

If you use this code or data in your work, please also cite the latest STRING manuscript.

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