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mcp server · mims-harvard.github.io

tooluniverse

2,500+ scientific tools for AI scientists: life science, research, literature, and more.

What it says

The record the registry holds

How you get it

There is no address to call. This one is a package you install and run yourself, wherever your assistant runs.

tooluniverse · pypi · 1.4.1
the record Copied from the official MCP registry, exactly as it holds it.
{
  "server": {
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "name": "io.github.mims-harvard/tooluniverse",
    "description": "2,500+ scientific tools for AI scientists: life science, research, literature, and more.",
    "repository": {
      "url": "https://github.com/mims-harvard/ToolUniverse",
      "source": "github"
    },
    "version": "1.4.1",
    "websiteUrl": "https://aiscientist.tools",
    "packages": [
      {
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "identifier": "tooluniverse",
        "version": "1.4.1",
        "runtimeHint": "uvx",
        "transport": {
          "type": "stdio"
        },
        "packageArguments": [
          {
            "value": "tooluniverse-smcp-stdio",
            "type": "positional"
          },
          {
            "description": "Compact mode enabled by default: only exposes 4 core tools (tool finder, tool executor, etc.) to prevent context window overflow. All 2,500+ tools remain accessible via the execute_tool function.",
            "value": "--compact-mode",
            "type": "positional"
          },
          {
            "description": "Specific tool categories to load (e.g., uniprot ChEMBL opentarget pubmed). Omit to load all tools. See full list: https://zitniklab.hms.harvard.edu/ToolUniverse/tools/tools_config_index.html",
            "type": "named",
            "name": "--categories",
            "valueHint": "CATEGORY",
            "isRepeated": true
          }
        ],
        "environmentVariables": [
          {
            "description": "OpenAI API key for LLM-based tool finding and embedding features",
            "isSecret": true,
            "name": "OPENAI_API_KEY"
          },
          {
            "description": "Anthropic API key for Claude-based features",
            "isSecret": true,
            "name": "ANTHROPIC_API_KEY"
          },
          {
            "description": "Google Gemini API key for Gemini-based features",
            "isSecret": true,
            "name": "GEMINI_API_KEY"
          },
          {
            "description": "OpenRouter API key for accessing 100+ LLM models",
            "isSecret": true,
            "name": "OPENROUTER_API_KEY"
          },
          {
            "description": "Azure OpenAI API key (alternative to OpenAI)",
            "isSecret": true,
            "name": "AZURE_OPENAI_API_KEY"
          },
          {
            "description": "HuggingFace token for accessing models and datasets",
            "isSecret": true,
            "name": "HF_TOKEN"
          },
          {
            "description": "NCBI/PubMed API key for higher rate limits (10 req/sec vs 3 req/sec). Register at https://www.ncbi.nlm.nih.gov/account/",
            "isSecret": true,
            "name": "NCBI_API_KEY"
          },
          {
            "description": "Semantic Scholar API key for higher rate limits (100 req/sec vs 1 req/sec). Register at https://www.semanticscholar.org/product/api",
            "isSecret": true,
            "name": "SEMANTIC_SCHOLAR_API_KEY"
          },
          {
            "description": "BioGRID API key for protein-protein interaction queries. Register free at https://webservice.thebiogrid.org/",
            "isSecret": true,
            "name": "BIOGRID_API_KEY"
          },
          {
            "description": "DisGeNET API key for gene-disease association data. Register free at https://www.disgenet.org/",
            "isSecret": true,
            "name": "DISGENET_API_KEY"
          },
          {
            "description": "OMIM API key for Mendelian disease data. Register at https://omim.org/api",
            "isSecret": true,
            "name": "OMIM_API_KEY"
          },
          {
            "description": "OncoKB API token for precision oncology annotations. Register at https://www.oncokb.org/apiAccess",
            "isSecret": true,
            "name": "ONCOKB_API_TOKEN"
          },
          {
            "description": "NVIDIA NIM API key for AlphaFold2 structure prediction, molecular docking, and genomics tools. Get key at https://build.nvidia.com",
            "isSecret": true,
            "name": "NVIDIA_API_KEY"
          },
          {
            "description": "USPTO API key for patent data access. Register at https://developer.uspto.gov/",
            "isSecret": true,
            "name": "USPTO_API_KEY"
          },
          {
            "description": "UMLS API key for medical terminology and concept mapping. Register at https://uts.nlm.nih.gov/uts/",
            "isSecret": true,
            "name": "UMLS_API_KEY"
          },
          {
            "description": "BRENDA enzyme database login email. Register at https://www.brenda-enzymes.org/",
            "name": "BRENDA_EMAIL"
          },
          {
            "description": "BRENDA enzyme database login password",
            "isSecret": true,
            "name": "BRENDA_PASSWORD"
          }
        ]
      }
    ],
    "_meta": {}
  },
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "statusChangedAt": "2026-08-12T15:26:49.876362Z",
      "publishedAt": "2026-08-12T15:26:49.876362Z",
      "updatedAt": "2026-08-12T15:26:49.876362Z",
      "isLatest": true
    }
  }
}
Make it installable

Draft an Agent Plugin from this

An MCP server is raw capability: some tools, wired to something. An Agent Plugin is the packaging that says what job it does, what it leaves behind and where it stops. The prompt below carries this record and asks for the packaging; your own assistant writes it, and nothing here is sent anywhere.

Make it installable

Draft an Agent Plugin from tooluniverse

Paste it into your assistant. It asks for the manifest, the server wiring and the skills, and for an honest account of what this record does not say. Read that second file first.

214 lines · the record is inside it, so nothing else is needed
Draft an Agent Plugin (agent-plugins.org, specification 1.1.0) that wraps the
MCP server described below, so that somebody could install one thing and have
an assistant that knows when and how to use it.

An Agent Plugin is one installable unit: a `plugin.json` manifest, an
`mcp.json` that wires up the servers it needs, and a `skills/` directory
where each skill is a folder holding a `SKILL.md`. Hand back every file in
full, each under its own path, ready to save.

1. Write `plugin.json` with `$schema` exactly `https://agent-plugins.org/schemas/1.1.0/plugin.schema.json`. The name is
   1 to 64 characters of a-z, 0-9, `-` and `.`, alphanumeric at both ends, with
   no `--` and no `..` in it.

2. Write `mcp.json` wiring THIS server exactly as its record declares it. A
   remote keeps the URL and the transport type as written. A package keeps the
   registry, the identifier and the version as written. Do not invent a command,
   a port, a flag or an argument that is not in the record.

3. Every secret stays an input. No key, token, password or connection string
   belongs in either file. Declare what has to be supplied, name it, and say what
   it is for.

4. Do not invent tools. The record lists the tools it lists, and if it lists
   none then the honest plugin says the tool list was not published rather than
   guessing one from the description.

5. Skills are jobs, not tools. Write one skill per thing somebody would actually
   ask for, and inside each one say when to reach for this server, what a good
   result looks like, and what to do when it comes back empty. A skill per tool
   is a manual page with a different filename.

6. Say where it stops. Name what this plugin will not do — what it has no tool
   for, what needs a person, and what it must not be pointed at. A plugin with no
   stated edge reads as one with no edge.

7. Keep the author's own words for the description. If you would rather say it
   differently, say yours somewhere else and leave theirs where it is.

8. Record which version of the server you wrapped, and where the record came
   from, at the top of `plugin.json`'s description or in the readme. A plugin
   nobody can trace back to a version is one nobody can update.

Produce a second file alongside them, `LIMITS.md`, and treat it as the more
important of the two. The plugin is for whoever installs it. This is for
whoever has to decide whether installing it is a good idea, and that is
usually a different person who will never read the manifest.

It has three parts.

**What this is built from.** One paragraph: whose server it is, what the
record says it does, which version, and the fact that the record is all you
had. Say plainly that nobody ran it.

**What the record does not say.** One entry per gap. Whether the tool list was
published. What the server does with what it reads. What it costs. Whether it
writes anything anywhere. What credentials it will ask for and what those
credentials can reach. An unanswered question stays an unanswered question:
do not fill one in from the description or from what similar servers usually do.

**What a person has to check before trusting it.** The specific things
somebody should verify for themselves, in the order that would stop them
soonest if the answer is bad.

Write it in plain English, and do not soften it. A plugin drafted from a
directory record is a starting point to argue with, not something to install
into anything that matters.

The server record follows, exactly as the public index holds it. It is
everything I have: nobody has run this server, called a tool on it, or checked
that the address answers.

```json
{
  "server": {
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "name": "io.github.mims-harvard/tooluniverse",
    "description": "2,500+ scientific tools for AI scientists: life science, research, literature, and more.",
    "repository": {
      "url": "https://github.com/mims-harvard/ToolUniverse",
      "source": "github"
    },
    "version": "1.4.1",
    "websiteUrl": "https://aiscientist.tools",
    "packages": [
      {
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "identifier": "tooluniverse",
        "version": "1.4.1",
        "runtimeHint": "uvx",
        "transport": {
          "type": "stdio"
        },
        "packageArguments": [
          {
            "value": "tooluniverse-smcp-stdio",
            "type": "positional"
          },
          {
            "description": "Compact mode enabled by default: only exposes 4 core tools (tool finder, tool executor, etc.) to prevent context window overflow. All 2,500+ tools remain accessible via the execute_tool function.",
            "value": "--compact-mode",
            "type": "positional"
          },
          {
            "description": "Specific tool categories to load (e.g., uniprot ChEMBL opentarget pubmed). Omit to load all tools. See full list: https://zitniklab.hms.harvard.edu/ToolUniverse/tools/tools_config_index.html",
            "type": "named",
            "name": "--categories",
            "valueHint": "CATEGORY",
            "isRepeated": true
          }
        ],
        "environmentVariables": [
          {
            "description": "OpenAI API key for LLM-based tool finding and embedding features",
            "isSecret": true,
            "name": "OPENAI_API_KEY"
          },
          {
            "description": "Anthropic API key for Claude-based features",
            "isSecret": true,
            "name": "ANTHROPIC_API_KEY"
          },
          {
            "description": "Google Gemini API key for Gemini-based features",
            "isSecret": true,
            "name": "GEMINI_API_KEY"
          },
          {
            "description": "OpenRouter API key for accessing 100+ LLM models",
            "isSecret": true,
            "name": "OPENROUTER_API_KEY"
          },
          {
            "description": "Azure OpenAI API key (alternative to OpenAI)",
            "isSecret": true,
            "name": "AZURE_OPENAI_API_KEY"
          },
          {
            "description": "HuggingFace token for accessing models and datasets",
            "isSecret": true,
            "name": "HF_TOKEN"
          },
          {
            "description": "NCBI/PubMed API key for higher rate limits (10 req/sec vs 3 req/sec). Register at https://www.ncbi.nlm.nih.gov/account/",
            "isSecret": true,
            "name": "NCBI_API_KEY"
          },
          {
            "description": "Semantic Scholar API key for higher rate limits (100 req/sec vs 1 req/sec). Register at https://www.semanticscholar.org/product/api",
            "isSecret": true,
            "name": "SEMANTIC_SCHOLAR_API_KEY"
          },
          {
            "description": "BioGRID API key for protein-protein interaction queries. Register free at https://webservice.thebiogrid.org/",
            "isSecret": true,
            "name": "BIOGRID_API_KEY"
          },
          {
            "description": "DisGeNET API key for gene-disease association data. Register free at https://www.disgenet.org/",
            "isSecret": true,
            "name": "DISGENET_API_KEY"
          },
          {
            "description": "OMIM API key for Mendelian disease data. Register at https://omim.org/api",
            "isSecret": true,
            "name": "OMIM_API_KEY"
          },
          {
            "description": "OncoKB API token for precision oncology annotations. Register at https://www.oncokb.org/apiAccess",
            "isSecret": true,
            "name": "ONCOKB_API_TOKEN"
          },
          {
            "description": "NVIDIA NIM API key for AlphaFold2 structure prediction, molecular docking, and genomics tools. Get key at https://build.nvidia.com",
            "isSecret": true,
            "name": "NVIDIA_API_KEY"
          },
          {
            "description": "USPTO API key for patent data access. Register at https://developer.uspto.gov/",
            "isSecret": true,
            "name": "USPTO_API_KEY"
          },
          {
            "description": "UMLS API key for medical terminology and concept mapping. Register at https://uts.nlm.nih.gov/uts/",
            "isSecret": true,
            "name": "UMLS_API_KEY"
          },
          {
            "description": "BRENDA enzyme database login email. Register at https://www.brenda-enzymes.org/",
            "name": "BRENDA_EMAIL"
          },
          {
            "description": "BRENDA enzyme database login password",
            "isSecret": true,
            "name": "BRENDA_PASSWORD"
          }
        ]
      }
    ],
    "_meta": {}
  },
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "statusChangedAt": "2026-08-12T15:26:49.876362Z",
      "publishedAt": "2026-08-12T15:26:49.876362Z",
      "updatedAt": "2026-08-12T15:26:49.876362Z",
      "isLatest": true
    }
  }
}
```

The server is listed as "tooluniverse".
What this is

MCP server

application/mcp-server-record+jsonlocal · you run it yourselfversion 1.4.1last seen 2026-08-23

These are the publisher's own words, filed by them with the official MCP registry and mirrored here. This catalog did not read them from the publisher and has not run, called or installed anything.

Where it lives

The publisher's own address

https://aiscientist.tools

The address the publisher put in their registry record, printed as they wrote it. Nobody here has opened it.