About OCDS German Procurement Search
OCDS German Procurement Search is an MCP server published by qune-tech in the Search category: search and match German public procurement tenders (OCDS) from your local LLM.
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Install
git clone https://github.com/qune-tech/vergabe-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (11)
create_company_profileCreate a matching profile for your company (stored locally)
Parameters not published.
delete_company_profileDelete a profile
Parameters not published.
get_company_profileView profile details
Parameters not published.
get_index_infoAPI health/version, embedder status, and embedding-contract check
Parameters not published.
get_releaseRaw [eForms](https://vergabe-dashboard.qune.de/wissen/eforms/) XML envelope for one OCID (optional `notice_id` selects a sibling)
Parameters not published.
linked_noticesA procurement's notice lineage (PIN→CN→CAN) as `{ocid, notice_id}` refs
Parameters not published.
list_company_profilesList all your profiles
Parameters not published.
list_releasesFilter and browse tenders by phase, CPV prefix, country, value range, deadline, buyer, procurement method
Parameters not published.
match_tendersMatch a profile against all tenders by semantic similarity (vector embedded locally)
Parameters not published.
search_textSemantic search across all tenders (query embedded locally)
Parameters not published.
update_company_profileUpdate an existing profile
Parameters not published.
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README
ocds-mcp
MCP server for German public procurement data (OCDS). Connects your AI assistant (Claude, GPT, etc.) to the Vergabe Dashboard API for semantic search, tender matching, and company profile management.
Your company profiles never leave your machine — only embedding vectors are sent to the API. GDPR-compliant by design.
Quick Start
1. Get an API key
Sign up at vergabe-dashboard.qune.de and create an API key (MCP or Enterprise plan required).
2. Install
Via npx (easiest — downloads the correct binary automatically):
npx @qune-tech/ocds-mcp --api-key sk_live_YOUR_KEY_HERE
Or download pre-built binary from GitHub Releases:
| Platform | Download |
|---|---|
| Linux x86_64 | ocds-mcp-linux-x86_64.tar.gz |
| macOS Apple Silicon | ocds-mcp-macos-arm64.tar.gz |
| Windows x86_64 | ocds-mcp-windows-x86_64.zip |
Linux / macOS:
# Example for Linux x86_64 — adjust the filename for your platform
tar xzf ocds-mcp-linux-x86_64.tar.gz
sudo mv ocds-mcp-linux-x86_64 /usr/local/bin/ocds-mcp
Windows: Extract the zip and move ocds-mcp-windows-x86_64.exe somewhere on your PATH (e.g. C:\Users\YOU\.local\bin\ocds-mcp.exe).
Or build from source:
git clone https://github.com/qune-tech/ocds-mcp.git
cd ocds-mcp
cargo build --release
# Binary at target/release/ocds-mcp
3. Configure your AI client
Claude Desktop — edit claude_desktop_config.json:
Using npx:
{
"mcpServers": {
"ocds": {
"command": "npx",
"args": ["-y", "@qune-tech/ocds-mcp", "--api-key", "sk_live_YOUR_KEY_HERE"]
}
}
}
Using the binary directly:
{
"mcpServers": {
"ocds": {
"command": "ocds-mcp",
"args": ["--api-key", "sk_live_YOUR_KEY_HERE"]
}
}
}
Claude Code — add .mcp.json to your project root:
Using npx:
{
"mcpServers": {
"ocds": {
"command": "npx",
"args": ["-y", "@qune-tech/ocds-mcp", "--api-key", "sk_live_YOUR_KEY_HERE"]
}
}
}
Using the binary directly:
{
"mcpServers": {
"ocds": {
"command": "ocds-mcp",
"args": ["--api-key", "sk_live_YOUR_KEY_HERE"]
}
}
}
Cursor — Settings → MCP Servers → Add:
Using npx:
- Command:
npx - Args:
-y @qune-tech/ocds-mcp --api-key sk_live_YOUR_KEY_HERE
Using the binary directly:
- Command:
ocds-mcp - Args:
--api-key sk_live_YOUR_KEY_HERE
LM Studio — Settings → MCP → Add Server:
- Click + Add Server and choose STDIO
- Fill in:
Using npx:
- Name:
ocds - Command:
npx - Arguments:
-y @qune-tech/ocds-mcp --api-key sk_live_YOUR_KEY_HERE
Using the binary directly:
- Name:
ocds - Command: full path to the binary, e.g.
/usr/local/bin/ocds-mcp - Arguments:
--api-key sk_live_YOUR_KEY_HERE
- Click Save
- In the chat, select a model that supports tool use and enable the
ocdsserver
LM Studio requires models with tool-calling support (e.g. Qwen 2.5, Mistral, Llama 3.1+). Smaller models may not use all 10 tools reliably — 7B+ recommended.
Replace sk_live_YOUR_KEY_HERE with your actual API key.
Available Tools
| Tool | Description |
|---|---|
search_text |
Semantic search across all tenders |
list_releases |
Filter and browse tenders by month, CPV code, category, value range |
get_release |
Full tender details by OCID |
get_index_info |
Database statistics and connectivity check |
create_company_profile |
Create a matching profile for your company |
update_company_profile |
Update an existing profile |
get_company_profile |
View profile details |
list_company_profiles |
List all your profiles |
delete_company_profile |
Delete a profile |
match_tenders |
Match a profile against all tenders with semantic similarity |
CLI Options
Usage: ocds-mcp [OPTIONS]
Options:
--db <DB> Local profiles database [default: profiles.db]
--data-dir <DIR> Data directory [default: data]
--api-url <URL> Vergabe Dashboard API [default: https://vergabe-dashboard.qune.de]
--api-key <KEY> API key [env: OCDS_API_KEY]
-h, --help Print help
How It Works
LLM ←stdio→ ocds-mcp (local)
│ Local: company profiles + sentence embedder
│ Remote: searches, release queries
└──HTTPS──→ Vergabe Dashboard API
The MCP server runs locally on your machine:
- Company profiles are stored in a local SQLite database — they never leave your network.
- Text embeddings are computed locally using a multilingual ONNX model (multilingual-e5-small, ~118 MB, auto-downloaded on first use).
- Only embedding vectors (arrays of 384 floats) are sent to the API for search and matching — your profile text stays local.
- Tender data is fetched from the API on demand.
Requirements
- An API key from vergabe-dashboard.qune.de (MCP or Enterprise plan)
- ~200 MB disk space for the ONNX model (downloaded automatically on first run)
- Internet connection to reach the API
License
MIT — see LICENSE.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.