Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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:
https://mcp.string-db.org/Run this in your terminal
claude mcp add --transport http string https://mcp.string-db.org/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.
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:
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.
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_proteinsMaps 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_setRetrieves 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_partnersRetrieves 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_networkRetrieves 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_clusteringPerforms **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_linkRetrieves 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_homologyRetrieves 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_evidenceRetrieves 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_enrichmentThis 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_annotationThis 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_urlRetrieves 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_enrichmentThis 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_termRetrieve 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_searchSearches 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_speciesSearch 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_fileCreates 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_helpProvides 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
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
The publisher (string-db.org) is not the repo owner (meringlab); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 862 ms (HTTP 200)
No sign-in needed
Read 17 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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.
The GitHub repo last changed –, and the latest version (1.13.1) reached the registry 10 days ago.
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.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
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.
requirements.txt):fastmcp==2.14.7mcp==1.29.0httpx>=0.28,<0.29pydantic>=2.11,<3.0Note: If the server crashes on startup, it is very likely due to an incompatible FastMCP version.
The server reads settings from config/server.config (JSON). Example:
{
"base_url": "https://string-db.org", "server_port": 57416, "verbosity": "low" }
git clone https://github.com/meringlab/string-mcp.git
cd string-mcp pip install -r requirements.txt
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.
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.
config/server.config file (copy from config/server.config.example if needed): cp config/server.config.example config/server.config
docker build -t string-mcp .
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
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.
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).
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.