MCP Integration

The Model Context Protocol (MCP) is an open standard by Anthropic that lets AI assistants (Claude, Cursor, Windsurf, etc.) connect to external services and call real tools. Datronis exposes one of the most capable public MCP servers in the job-search space: any MCP-compatible AI can search real jobs, browse news, explore companies, and query live platform stats for free — and, with a personal access token, build or update a full resume from nothing but a conversation, submit job applications, and check application status, all on your behalf and without writing a single line of integration code.

The MCP server is a single HTTP endpoint. All three HTTP methods are used by the protocol:

https://api.datronis.com/api/mcp

Add the following to your Claude Desktop configuration file. On macOS this is at ~/Library/Application Support/Claude/claude_desktop_config.json.

{
  "mcpServers": {
    "datronis": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://api.datronis.com/api/mcp"
      ]
    }
  }
}

These editors support HTTP MCP servers natively. Add the server URL in your editor's MCP settings panel:

{
  "mcpServers": {
    "datronis": {
      "url": "https://api.datronis.com/api/mcp",
      "type": "http"
    }
  }
}

De første 6 værktøjer nedenfor er offentlige (ingen API-nøgle påkrævet) — AI'en kan kalde dem automatisk baseret på din forespørgsel. De resterende 5 kræver en personlig adgangstoken (se næste afsnit), da de handler på din konto: indsende ansøgninger, læse dine CV'er, tjekke din ansøgningshistorik og udkast eller redigere nyhedsartikler.

Udgivelse af nyheder via MCP følger en fast, ikke-omgåelig arbejdsgang: skriv udkast på engelsk, klassificer, og beslut først derefter, om den skal gå live, eller hvilke andre sprog den skal udgives på.

• Trin 1 — Engelsk udkast — draft_news opretter altid den engelske version af artiklen først, uanset hvilke sprog du i sidste ende ønsker den udgivet på. Klassificering og enhver gennemgang tager begge udgangspunkt i denne engelske version.
• Trin 2 — Automatisk klassificering — en AI-sikkerhedsklassificering læser artiklen og returnerer enten "green" (ukontroversiel — videnskab, teknologi, forretning, sport, underholdning, kultur, sundhed, livsstil) eller "flagged" (partipolitik, valg, krig eller konflikt, grafisk vold, hadefuld tale, misinformation eller noget, der sandsynligvis vil blive opfattet som kontroversielt eller splittende af et bredt publikum).
• Hvis green — artiklen går straks live på engelsk og oversættes og udgives også på ethvert sprog, du har angivet i target_locales.
• Hvis flagged — artiklen oprettes, men forbliver uudgivet. Værktøjskaldet returnerer klassificeringens begrundelse. Intet du kan sende til draft_news tvinger den live herfra — der er intet override-flag.
• Trin 3 — Rediger og gensend (valgfrit) — kald resubmit_news med samme news_id og en revideret titel/tekst. Dette kører en helt ny klassificering af revisionen og logges som sit eget forsøg, adskilt fra det oprindelige. Hvis revisionen nu er green, udgives den; hvis stadig flagged, forbliver den uudgivet og kan gensendes igen.
• Ejerskab — kun kontoen, hvis api_key oprindeligt kaldte draft_news for en given artikel, kan kalde resubmit_news på den. En anden (selv gyldig) api_key afvises.
• Sprog er valgfrie — udeladelse af target_locales udgiver kun på engelsk. Send de 2-bogstavs sprogkoder, du ønsker (f.eks. ["de", "ru"]), for også at oversætte og udgive på de sprog i samme kald.
• Flexible authoring — set content_format to markdown for headings, tables, lists, links, images and code blocks, or html for rich HTML, classes and inline CSS. Markdown is converted to stable HTML on the backend before storage, translation and indexing.

apply_to_job, list_my_resumes, create_resume, update_resume, get_my_applications, draft_news, resubmit_news, submit_news_translation, and all admin_* tools act on your Datronis account, so they need to know who you are. Generate a personal access token from your account settings, then send it either as an Authorization: Bearer HTTP header (preferred) or as the api_key argument on the tool call.

• Step 1 — Go to /app/api-keys/ while logged in and click "New Key".
• Step 2 — Copy the generated key (starts with dtk_) — it's shown only once.
• Step 3 (preferred) — Configure your MCP client to send Authorization: Bearer dtk_... as an HTTP header on every request.
• Step 3 (fallback) — If your client can't set custom headers, pass it as api_key in your prompt or tool call instead, e.g. "apply to job X using api_key dtk_...".
• Revoking — Revoke a key anytime from the same page; it stops working immediately, regardless of which method was used to send it.

The MCP server also exposes a readable resource — the platform overview documentation — which AI assistants can read to understand the platform before calling tools:

platform://docs/overview

The server uses the Streamable HTTP transport (MCP spec 2025-03-26):

• Step 1 — Client sends POST /api/mcp with an initialize message (no session ID header). Every request, including this first one, must send Accept: application/json, text/event-stream — the server rejects anything else with 406 Not Acceptable.
• Step 2 — Server creates a session and returns the Mcp-Session-Id header.
• Step 3 — Client sends a notifications/initialized message (with the Mcp-Session-Id header) to confirm the handshake — the spec-correct next step, expected by well-behaved MCP clients even though this server doesn't currently enforce it.
• Step 4 — All subsequent tool calls include the Mcp-Session-Id header.
• Step 5 — Client can open a GET /api/mcp SSE stream for server-initiated notifications.
• Step 6 — Client sends DELETE /api/mcp to close the session when done.
• Auto-expiry — Sessions auto-expire after 30 minutes of inactivity.

# Step 1: Initialize a session
curl -X POST https://api.datronis.com/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -D - \
  -d '{"jsonrpc":"2.0","method":"initialize","id":1,"params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'

# Note the Mcp-Session-Id in the response headers, then:

# Step 2: Confirm initialization (expected: 202 Accepted, empty body)
curl -X POST https://api.datronis.com/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: <your-session-id>" \
  -d '{"jsonrpc":"2.0","method":"notifications/initialized"}'

# Step 3: List available tools
curl -X POST https://api.datronis.com/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: <your-session-id>" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":2}'

# Step 4: Call search_jobs
curl -X POST https://api.datronis.com/api/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Mcp-Session-Id: <your-session-id>" \
  -d '{"jsonrpc":"2.0","method":"tools/call","id":3,"params":{"name":"search_jobs","arguments":{"q":"React","remote_type":"REMOTE","limit":5}}}'

Parameteren locale i get_news og get_categories accepterer et tal fra 1–24. draft_news/resubmit_news bruger i stedet 2-bogstavskoder (f.eks. "de", "ru") i target_locales — de samme koder som vist i denne tabel.

Once connected, try these natural language prompts in any MCP-aware AI:

• "Find remote senior React developer jobs in Europe"
• "What are the latest tech news articles in English?"
• "Search for fintech companies actively hiring in London"
• "How many jobs and companies are on the platform?"
• "Get the job details for slug 'senior-frontend-engineer-acme-corp'"
• "List all available news categories"
• "Apply to the senior-frontend-engineer-acme-corp job using my Datronis account (api_key dtk_...)"
• "List my resumes on Datronis and tell me which one is my default"
• "Build me a Datronis resume from my background: 4 years as a backend engineer at Acme (2021-present), B.Sc. Computer Science from TU Berlin, strong in Go and PostgreSQL (api_key dtk_...)"
• "Skriv en nyhedsartikel på Datronis om [emne], og udgiv den på engelsk og tysk (api_key dtk_...)"
• "Mit sidste draft_news-kald blev flagged — her er en revideret, neutral version, gensend den under news_id 123"
• "Draft a news article on Datronis about [topic] and publish it in English and German (api_key dtk_...)"
• "My last draft_news call was flagged — here's a revised, neutral version, resubmit it under news_id 123"
• "Which published articles on Datronis are still missing a Finnish translation?"
• "Translate news_id 101 into Finnish and publish it using my api_key"