literature-agent-mcp
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., "@literature-agent-mcpsearch for recent papers on immunotherapy in lung cancer"
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.
literature-agent-mcp
MCP server that exposes the local biomedical literature pipeline in:
/Users/zouxingyu/Desktop/Codex工作区/literature-agent
It wraps the existing five-step CLI workflow as MCP tools so OpenClaw / Codex / Claude Code / other MCP clients can call it as a standard server.
Tools
plan_querysearch_and_mergedownload_fulltextsconvert_and_indexwrite_draftrun_pipeline
Default assumptions
Biomedical / pathology domain
Legal open-access retrieval only
No paywall bypass
Local literature-agent project already exists
Local setup
cd /tmp/mcp_repo_zouxy111
python3.11 -m venv .venv
source .venv/bin/activate
pip install -e .Run server
source .venv/bin/activate
literature-agent-mcpEnvironment variables
LITERATURE_AGENT_ROOT: override the default project root
Default:/Users/zouxingyu/Desktop/Codex工作区/literature-agentLITERATURE_AGENT_PYTHON: override the interpreter used to call the backend
Default:<root>/.venv/bin/python, fallbackpython
Example MCP config
{
"mcpServers": {
"literature-agent": {
"command": "/tmp/mcp_repo_zouxy111/.venv/bin/literature-agent-mcp",
"env": {
"LITERATURE_AGENT_ROOT": "/Users/zouxingyu/Desktop/Codex工作区/literature-agent"
}
}
}
}Backend outputs
For a given task_id, outputs are written under:
<literature-agent>/work/<task_id>/
Typical structure:
query_plan.jsonsearch/master_results.jsonlcorpus/draft/
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