HRSSC / ELM Reference MCP Server
Provides semantic search over USPS labor-relations documents, including the Employee and Labor Relations Manual (ELM) and the APWU-HRSSC National Agreement, with cited excerpts for verification.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
HRSSC / ELM Reference MCP Server
An MCP server exposing two independently queryable, fully offline vector databases for USPS/APWU labor-relations research:
query_elm— the USPS Employee and Labor Relations Manual (ELM), chunked by its own section numbering (e.g.511.43,665.41).query_hrssc— the 2024-2029 APWU-HRSSC National Agreement, chunked by Article/Section, with source page numbers.
Both are semantic-search (embedding-based) retrieval tools. They surface the relevant text with exact citations; they do not interpret whether a provision applies to any specific situation — always verify the returned text against the actual document before relying on it.
What's in here
data/
ELM_vectordb/ Chroma DB, collection "elm"
HRSSC_vectordb/ Chroma DB, collection "hrssc_agreement"
src/
server.py MCP server (FastMCP), two tools
requirements.txtSource material: ELM downloaded from the official USPS site (about.usps.com/manuals/elm/), March 2024 edition. HRSSC Agreement digitized from a personal printed copy (OCR'd, so expect occasional OCR noise in exact wording -- always confirm against the actual contract for anything consequential).
Related MCP server: agent-history-mcp
Setup
pip install -r requirements.txtUsing with Claude Code / Claude Desktop
Add to your MCP config (e.g. claude_desktop_config.json or
.claude/mcp.json):
{
"mcpServers": {
"hrssc-elm-reference": {
"command": "python",
"args": ["/absolute/path/to/hrssc-elm-mcp/src/server.py"]
}
}
}Then ask Claude things like "check the ELM for reasonable accommodation
standards" or "what does the HRSSC agreement say about non-career
employees" and it will call query_elm / query_hrssc directly.
Using with ChatGPT / GPT-side tooling
ChatGPT doesn't speak MCP natively. Two practical options:
Local script, not a live connector: run
src/server.py's underlyingchromadbqueries directly in a Python environment (e.g. a Code Interpreter session with thedata/folder uploaded) -- see thequery_elm/query_hrsscfunctions inserver.pyfor the exact query pattern to copy.Wrap it as an HTTP API (not included here) and expose it as a Custom GPT Action, if you want live access from a hosted GPT rather than a one-off Code Interpreter session.
Standalone query script
For a quick terminal lookup without going through MCP at all:
python -c "
import sys
sys.path.insert(0, 'src')
from server import query_elm, query_hrssc
print(query_elm('your question here'))
print(query_hrssc('your question here'))
"Caveats
Retrieval only, not legal advice. Verify citations against the actual documents before relying on them for anything consequential.
HRSSC Agreement text went through OCR on phone-photographed pages; spot-check exact wording on anything that matters.
Neither DB covers the main APWU-USPS National Agreement (a separate document from the HRSSC-specific agreement) or USPS Handbook EL-307 (Reasonable Accommodation procedures) -- not included here.
This server cannot be deployed
Maintenance
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