TalentNex MCP Server (Python)
Model Context Protocol server for TalentNex (Cauldron backend). Exposes candidate and challenge data via MCP tools and resources, forwarding the Nexa Flow auth token as Authorization: Bearer <token> to Cauldron.
Features
- Tools:
getCandidateById,searchCandidates,getCompanies,getJobRoles(shaped like cauldron-mcp-server redactions, includingparsedResume). - Resources:
talentnex://candidates/recent,talentnex://challenges/all. - Transports: stdio (
mcp-talentnex) and HTTP/SSE (mcp-talentnex-http).
Requirements
- Python >= 3.10
- Env:
CAULDRON_API_BASE_URLbackend origin only (e.g.,https://api.cauldron.example.com) - Auth:
Authorization: Bearer <token>provided by Nexa Flow (passed through by client or HTTP header). For stdio, setTALENTNEX_BEARER_TOKENor provide per-call via HTTP wrapper.
Install
pip install mcp-talentnex
# or
uvx mcp-talentnex
Run (stdio)
export CAULDRON_API_BASE_URL="https://api.cauldron.example.com"
export TALENTNEX_BEARER_TOKEN="<nexa-flow-token>"
mcp-talentnex
Run (HTTP/SSE)
export CAULDRON_API_BASE_URL="https://api.cauldron.example.com"
uvx mcp-talentnex-http
# or
mcp-talentnex-http
HTTP endpoints (for Claude Desktop HTTP MCP):
GET /mcp/toolsPOST /mcp/tools/call{ name, arguments }GET /mcp/resourcesPOST /mcp/resources/read{ uri }GET /health
Pass Authorization: Bearer <token> on each HTTP call; the server forwards it to Cauldron.
Tools
getCandidateByIdargs: { userId, companyId, candidateId, token? }searchCandidatesargs: { userId, companyId, q?, skills?, status?, limit?, skip?, token? }getCompaniesargs: { userId, status?, limit?, skip?, token? }getJobRolesargs: { userId, companyId, status?, limit?, skip?, token? }
Optional runtime routing override:
baseUrlcan be passed in tool arguments when the caller needs to choose backend at runtime.baseUrlmust be host-only origin (for examplehttps://talentnex-backend-qa-...run.app) and cannot include path/query/fragment.- If
baseUrlis omitted, server falls back toCAULDRON_API_BASE_URL.
If token is omitted, the server uses TALENTNEX_BEARER_TOKEN (stdio) or the HTTP Authorization header.
Resources
talentnex://candidates/recent(uses limit 20, skip 0)talentnex://challenges/all(limit 50, skip 0)
Development (from source)
cd talentnex-mcp-server
python -m venv .venv && source .venv/bin/activate
pip install -e .[dev]
python -m pytest
Test Troubleshooting
- If collection fails with
ModuleNotFoundError: mcporModuleNotFoundError: requests_mock, your active interpreter is missing runtime/dev dependencies. - Reinstall into the same interpreter used for tests:
python -m pip install -e .[dev]python -m pytest
- Verify imports directly in that environment:
python -c "import mcp, requests_mock; print('ok')"
Configuration
CAULDRON_API_BASE_URL(required, host-only origin; no path/query/fragment)TALENTNEX_DEFAULT_LIMIT(optional, default 20)TALENTNEX_DEFAULT_SKIP(optional, default 0)TALENTNEX_BEARER_TOKEN(fallback token for stdio)TALENTNEX_ALLOWED_BASE_URL_HOSTS(optional, comma-separated host allowlist for bothCAULDRON_API_BASE_URLand runtimebaseUrl)
Common misconfiguration to avoid:
- Wrong:
https://.../candidates/:candidateId/resume - Correct:
https://...
Packaging / Release
- Bump version in
pyproject.toml python -m buildtwine upload dist/*- Smoke:
uvx mcp-talentnex --help
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