Search / io.github.JonasHeinickeBio/pyeuropepmc
PyEuropePMC
L0· runs locallyEurope PMC search, full text, annotations, data links, batch lookups and export for AI agents
v3.8.0 · active · repository · website · descriptor JSON · versions
Search / io.github.JonasHeinickeBio/pyeuropepmc
L0· runs locallyEurope PMC search, full text, annotations, data links, batch lookups and export for AI agents
v3.8.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"pyeuropepmc": {
"command": "uvx",
"args": [
"pyeuropepmc==3.8.0",
"mcp"
],
"env": {
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO",
"SEMANTIC_SCHOLAR_API_KEY": "${SEMANTIC_SCHOLAR_API_KEY}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"OPENAI_MODEL": "gpt-4o-mini"
}
}
}
}claude mcp add pyeuropepmc -e "PYEUROPEPMC_MCP_LOG_LEVEL=INFO" -e "SEMANTIC_SCHOLAR_API_KEY=${SEMANTIC_SCHOLAR_API_KEY}" -e "OPENAI_API_KEY=${OPENAI_API_KEY}" -e "OPENAI_MODEL=gpt-4o-mini" -- uvx pyeuropepmc==3.8.0 mcp[mcp_servers.pyeuropepmc]
command = "uvx"
args = ["pyeuropepmc==3.8.0", "mcp"]
env = { "PYEUROPEPMC_MCP_LOG_LEVEL" = "INFO", "SEMANTIC_SCHOLAR_API_KEY" = "${SEMANTIC_SCHOLAR_API_KEY}", "OPENAI_API_KEY" = "${OPENAI_API_KEY}", "OPENAI_MODEL" = "gpt-4o-mini" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"pyeuropepmc": {
"type": "local",
"command": [
"uvx",
"pyeuropepmc==3.8.0",
"mcp"
],
"enabled": true,
"environment": {
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO",
"SEMANTIC_SCHOLAR_API_KEY": "{env:SEMANTIC_SCHOLAR_API_KEY}",
"OPENAI_API_KEY": "{env:OPENAI_API_KEY}",
"OPENAI_MODEL": "gpt-4o-mini"
}
}
}
}{
"mcpServers": {
"pyeuropepmc": {
"command": "uvx",
"args": [
"pyeuropepmc==3.8.0",
"mcp"
],
"env": {
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO",
"SEMANTIC_SCHOLAR_API_KEY": "${SEMANTIC_SCHOLAR_API_KEY}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"OPENAI_MODEL": "gpt-4o-mini"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=pyeuropepmc&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJweWV1cm9wZXBtYz09My44LjAiLCJtY3AiXSwiZW52Ijp7IlBZRVVST1BFUE1DX01DUF9MT0dfTEVWRUwiOiJJTkZPIiwiU0VNQU5USUNfU0NIT0xBUl9BUElfS0VZIjoiJHtTRU1BTlRJQ19TQ0hPTEFSX0FQSV9LRVl9IiwiT1BFTkFJX0FQSV9LRVkiOiIke09QRU5BSV9BUElfS0VZfSIsIk9QRU5BSV9NT0RFTCI6ImdwdC00by1taW5pIn19"
}{
"servers": {
"pyeuropepmc": {
"type": "stdio",
"command": "uvx",
"args": [
"pyeuropepmc==3.8.0",
"mcp"
],
"env": {
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO",
"SEMANTIC_SCHOLAR_API_KEY": "${SEMANTIC_SCHOLAR_API_KEY}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"OPENAI_MODEL": "gpt-4o-mini"
}
}
}
}{
"mcpServers": {
"pyeuropepmc": {
"command": "uvx",
"args": [
"pyeuropepmc==3.8.0",
"mcp"
],
"env": {
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO",
"SEMANTIC_SCHOLAR_API_KEY": "${SEMANTIC_SCHOLAR_API_KEY}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"OPENAI_MODEL": "gpt-4o-mini"
}
}
}
}extensions:
"pyeuropepmc":
enabled: true
name: "pyeuropepmc"
type: stdio
cmd: "uvx"
args:
- "pyeuropepmc==3.8.0"
- "mcp"
envs:
"PYEUROPEPMC_MCP_LOG_LEVEL": "INFO"
"SEMANTIC_SCHOLAR_API_KEY": "${SEMANTIC_SCHOLAR_API_KEY}"
"OPENAI_API_KEY": "${OPENAI_API_KEY}"
"OPENAI_MODEL": "gpt-4o-mini"
timeout: 300
Placeholders to fill from your own secret store: ${SEMANTIC_SCHOLAR_API_KEY}, ${OPENAI_API_KEY}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns, deps.mcp_sdk_version, deps.resolvabledependencies not resolved yetNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-1d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] PyPInot resolved yet; dependencies are read once a day
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
pyeuropepmc | pypi | 3.8.0 | uvx | SEMANTIC_SCHOLAR_API_KEY, OPENAI_API_KEY |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.JonasHeinickeBio/pyeuropepmc",
"title": "PyEuropePMC",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.8.0",
"packages": [
{
"version": "3.8.0",
"transport": {
"type": "stdio"
},
"identifier": "pyeuropepmc",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"packageArguments": [
{
"type": "positional",
"value": "mcp",
"valueHint": "command"
}
],
"environmentVariables": [
{
"name": "PYEUROPEPMC_MCP_LOG_LEVEL",
"format": "string",
"choices": [
"DEBUG",
"INFO",
"WARNING",
"ERROR"
],
"default": "INFO",
"description": "Log level, written to stderr: DEBUG, INFO, WARNING or ERROR."
},
{
"name": "SEMANTIC_SCHOLAR_API_KEY",
"format": "string",
"isSecret": true,
"description": "Optional. Raises the Semantic Scholar rate limit used by citation_snowball and the semantic_scholar source of unified_search; without it requests are throttled and may get HTTP 429."
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "Optional. Enables the LLM-powered tools (analyze_citations, literature_review, paper_screening, ...) with any OpenAI-compatible API. Needs the agentic extra."
},
{
"name": "OPENAI_BASE_URL",
"format": "string",
"description": "Optional. Base URL of an OpenAI-compatible API for the LLM tools."
},
{
"name": "OPENAI_MODEL",
"format": "string",
"default": "gpt-4o-mini",
"description": "Optional. Model for the LLM tools."
},
{
"name": "UNPAYWALL_EMAIL",
"format": "string",
"description": "Optional. Your contact e-mail address, sent with each Unpaywall request (their terms ask for one). Needed by the find_open_access tool only; there is no default."
}
]
}
],
"repository": {
"id": "999512652",
"url": "https://github.com/JonasHeinickeBio/pyEuropePMC",
"source": "github"
},
"websiteUrl": "https://jonasheinickebio.github.io/pyEuropePMC/",
"description": "Europe PMC search, full text, annotations, data links, batch lookups and export for AI agents"
}