Provides tools for searching high-energy physics literature on InspireHEP, retrieving paper details, author metrics, citation graphs, and generating formatted references in BibTeX, LaTeX, or JSON.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@InspireHEP MCP Server Search for papers about dark matter"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP server that integrates InspireHEP high-energy physics literature with LLMs. Search papers, explore citations, retrieve author metrics, and generate formatted references.
# Using pip
pip install inspirehep-mcp
# Or run directly with uvx (no install needed)
uvx inspirehep-mcpgit clone https://github.com/MohamedElashri/inspirehep-mcp.git
cd inspirehep-mcp
uv sync
uv run inspirehep-mcpRelated MCP server: nasa-ads-mcp
Add to your MCP client config:
{
"mcpServers": {
"inspirehep": {
"command": "uvx",
"args": ["inspirehep-mcp"]
}
}
}Option A: Using the CLI
# Global scope (available across all projects)
claude mcp add --scope user inspirehep -- uvx inspirehep-mcp
# Project scope (shared via .mcp.json, checked into source control)
claude mcp add --scope project inspirehep -- uvx inspirehep-mcpOption B: Manual configuration
For global scope, add to ~/.claude.json:
{
"mcpServers": {
"inspirehep": {
"command": "uvx",
"args": ["inspirehep-mcp"]
}
}
}For project scope, create .mcp.json in your project root:
{
"mcpServers": {
"inspirehep": {
"command": "uvx",
"args": ["inspirehep-mcp"]
}
}
}Option A: Using the CLI
# Project scope (default)
gemini mcp add inspirehep uvx inspirehep-mcp
# User/global scope
gemini mcp add -s user inspirehep uvx inspirehep-mcpOption B: Manual configuration
Add to ~/.gemini/settings.json (user scope) or .gemini/settings.json (project scope):
{
"mcpServers": {
"inspirehep": {
"command": "uvx",
"args": ["inspirehep-mcp"]
}
}
}Tool | Description |
| Search papers by topic, author, collaboration, or free text |
| Get full metadata for a paper by Inspire ID, arXiv ID, or DOI |
| Retrieve an author's publications and citation metrics |
| Explore citation graph — who cites a paper, or what it cites |
| Find publications from ATLAS, CMS, LHCb, etc. |
| Retrieve figures and download URLs for a paper |
| Generate BibTeX, LaTeX, or JSON reference lists |
| Retrieve BibTeX citation entry by DOI, arXiv ID, or Inspire ID |
| Monitor cache hit rates and API performance |
All settings via environment variables (prefix INSPIREHEP_):
Variable | Default | Description |
|
| API rate limit |
|
| Cache TTL in seconds (24h) |
|
| Max cached entries |
|
| Enable SQLite persistent cache |
|
| SQLite cache file path |
|
| HTTP request timeout (seconds) |
|
| Logging level |
# Run tests
uv run pytest tests/ -v
# Run with coverage
uv run pytest tests/ --cov=inspirehep_mcp --cov-report=term-missing
# Unit tests only (no network)
uv run pytest tests/test_utils.py tests/test_cache.py tests/test_errors.py tests/test_config.pyThis project is licensed under the AGPL-3.0 License - see the LICENSE file for details.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/MohamedElashri/inspirehep-mcp'
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