Skip to main content
Glama
OSTI MCP Server

OSTI MCP Server

by jsevarts

OSTI MCP Server

An MCP server that exposes OSTI.gov's public search API as tools Claude can call directly — so Claude can search and retrieve DOE-sponsored scientific literature (technical reports, journal articles, theses/dissertations, patents, datasets) in the middle of a conversation.

What it does

Two tools:

  • search_osti — keyword/author/identifier search over OSTI records, with filters for research organization, sponsoring DOE office, publication date range, product type (journal article, technical report, thesis, patent, dataset), and full-text availability. Returns a total count of all matching records (not just the current page) alongside the page itself; rows is capped at 100 per request.

  • get_osti_record — fetch full metadata (abstract, subjects, identifiers, links to citation and full-text pages) for a single record by its OSTI ID.

No API key or authentication is required — this only uses OSTI's public read/search API, not the authenticated ELINK submission API.

Related MCP server: Academic Paper Search MCP Server

Install

Requires Python 3.10+. Dependencies are declared once in pyproject.toml, so pick whichever environment manager you use:

pip / venv:

git clone https://github.com/jsevarts/mcp-osti.git
cd mcp-osti
python3 -m venv venv
source venv/bin/activate
pip install -e ".[dev]"

conda:

git clone https://github.com/jsevarts/mcp-osti.git
cd mcp-osti
conda env create -f environment.yml
conda activate osti-mcp

Try it out

Sanity-check the server directly:

python osti_mcp_server.py

Or open the MCP Inspector for interactive testing:

mcp dev osti_mcp_server.py

Register with Claude Code / Claude Desktop / Claude Science

Point at the Python interpreter inside whichever environment you created above — e.g. venv/bin/python3 for pip/venv, or the output of conda run -n osti-mcp which python3 for conda.

Claude Code:

claude mcp add --transport stdio osti -- /full/path/to/python3 /full/path/to/osti_mcp_server.py

Claude Desktop / Claude Science (Settings → Developer → Edit Config, add to mcpServers):

{
  "mcpServers": {
    "osti": {
      "command": "/full/path/to/python3",
      "args": ["/full/path/to/osti_mcp_server.py"]
    }
  }
}

Restart the app afterward.

Example query

"Search OSTI for recent DOE-funded work on phase-field modeling of grain boundary migration, and pull the full abstract for the most relevant result."

API notes

Verified against the live API, not just the docs page:

  • GET /records returns a bare JSON array at the top level (no records wrapper). Pagination metadata (X-Total-Count, Link) comes back in response headers, not the JSON body.

  • GET /records/{osti_id} also returns a JSON array (containing zero or one record), not a single object — easy to miss.

  • publication_date_start/_end must be sent as MM/DD/YYYY. Sending ISO dates causes an HTTP 500 rather than a clean error. This server accepts ISO YYYY-MM-DD dates from the caller and converts them internally, so Claude can pass normal ISO dates without knowing about this quirk.

  • OSTI doesn't publish a documented hard rate limit. It does send an X-Rate-Limit-Remaining header, but it read 0 on every request observed during testing even as requests kept succeeding — it doesn't appear to be reliably actionable, so this server doesn't throttle on it. Keep rows modest and avoid tight request loops.

Testing

pip install -e ".[dev]"   # or: conda env create -f environment.yml && conda activate osti-mcp
python -m pytest tests/

Tests mock requests.get, so they run offline.

License

MIT — see LICENSE.

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables Claude and other MCP-compatible clients to search for academic papers and fetch detailed metadata, abstracts, and available full text from Semantic Scholar and Crossref.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables Claude and other MCP-compatible clients to search and retrieve academic paper information from Semantic Scholar and Crossref, including metadata, abstracts, and full text when available. It exposes tools for paper search, topic/date-range search, and fetching details by DOI or Semantic Scholar ID.
    -