sentrul-mcp-server
Allows research and analysis of arXiv papers using Sentrul's research agent, providing summaries, entities, claims, and trace URLs for academic content.
Click on "Deploy 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., "@sentrul-mcp-serverResearch https://example.com/privacy-policy and summarize key data practices"
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.
sentrul-mcp-server
Run Sentrul research, compliance, and trace-lookup agents from any MCP-aware client. 257 production agents behind one gateway.
Version: 0.1.0 | SDK: @modelcontextprotocol/sdk@1.29.0 | License: MIT
Install (Claude Desktop)
Add this snippet to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"sentrul": {
"command": "npx",
"args": ["-y", "sentrul-mcp-server"],
"env": { "SENTRUL_API_KEY": "optional — free tier auto-provisions" }
}
}
}Restart Claude Desktop. The server auto-provisions a free-tier key on first use — no signup required.
Related MCP server: enterprise-knowledge-integrator
Tools
sentrul_research
Fetch a URL and run Sentrul's research-agent on the content. Returns summary, entities, claims, and a public Langfuse trace URL.
Example prompts
"Research https://example.com/report and summarise the key claims"
"Do a full-depth research pass on https://arxiv.org/abs/2401.00001"
sentrul_compliance_scan
Scan text for common compliance patterns (PII, PCI, HIPAA, GDPR data). Returns findings + severity. Not legal advice.
Example prompts
"Scan this document for PII and PCI violations: [paste text]"
"Check the following privacy policy for GDPR data patterns"
sentrul_trace_lookup
Retrieve a public Langfuse trace by ID. Returns the structured trace payload for inspection.
Example prompts
"Fetch trace clm8abc123xyz from Sentrul"
"Show me the observation tree for trace ID abc-def-456"
Environment variables
Variable | Required | Default | Description |
| No | auto-provisioned | Your Sentrul API key. Leave unset to use the free tier. |
| No |
| Override the Sentrul gateway base URL (staging / local dev). |
Anonymous free tier
If SENTRUL_API_KEY is not set, the server:
Checks for a cached key at
~/.sentrul/mcp-key.If no cache exists, calls
POST /v1/mcp/keys/anonymousto auto-provision a rate-limited free key.Writes the key to
~/.sentrul/mcp-key(mode 0600) for future runs.
You can upgrade at any time by setting SENTRUL_API_KEY in your MCP client config.
Security notes
No shell execution — the server never runs shell commands or spawns subprocesses.
No PII logging — environment variables and API keys are never written to logs or stdout.
Read-only — all three tools are read-only at launch; no writes to user files or external state.
Filesystem writes — the only writes are to
~/.sentrul/mcp-key(the key cache). Nothing else is written outside that directory.Supply-chain — publish uses 2FA-enforced npm account + sigstore attestation (see
SECURITY.mdwhen available).
Development
pnpm install
pnpm run build # tsc → dist/
pnpm test # vitest run
# Smoke test — should print 3 tools in the tools/list response:
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.jsLinks
Homepage: https://sentrul.com
Repository: https://github.com/sentrul/sentrul-mcp-server
Issues: https://github.com/sentrul/sentrul-mcp-server/issues
MIT License — Copyright (c) 2026 Sentrul
Available Tools
3 toolssentrul_compliance_scanC
Scan text for common compliance patterns (PII, PCI, HIPAA, GDPR data). Returns findings + severity. Not legal advice.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| frameworks | No |
sentrul_researchA
Fetch a URL and run Sentrul's research-agent on the content. Returns summary, entities, claims, and a public Langfuse trace URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| depth | No | quick |
sentrul_trace_lookupC
Retrieve a public Langfuse trace by ID. Returns the structured trace payload for inspection in the client.
| Name | Required | Description | Default |
|---|---|---|---|
| trace_id | Yes |
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
v0.1.0- First observed
sentrul_compliance_scan - First observed
sentrul_research - First observed
sentrul_trace_lookup
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap. sentrul_compliance_scan analyzes text for compliance patterns, sentrul_research processes web content for research insights, and sentrul_trace_lookup retrieves specific trace data. An agent can easily differentiate between scanning, researching, and trace lookup functions.
All tool names follow a consistent 'sentrul_' prefix with descriptive suffixes (compliance_scan, research, trace_lookup). The naming pattern is uniform and predictable, using snake_case throughout without any deviations or mixed conventions.
With only 3 tools, the set feels thin for a server named 'sentrul-mcp-server', which suggests a broader scope for compliance and research operations. While each tool is distinct, the count is borderline low, potentially limiting functionality for agents working in this domain.
The tools cover scanning, research, and trace lookup, but there are notable gaps for a compliance/research domain. Missing operations include updating or managing scans, configuring research parameters, or handling trace modifications, which could lead to dead ends in agent workflows.
Maintenance
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