"A server for finding research information" matching MCP tools:

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

  ConnectorNo auth

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• search_webA

  Salesbot - B2B outreach LinkedIn MCP Server with CRM and emailA

  Use for general web research (company info, news, job portals). For LinkedIn profiles use search_linkedin_people; to read one company's own site use read_company_website. General-purpose Google search — returns organic results for any query. Unlike search_google_xray (LinkedIn-only), this searches the entire web. Useful for finding job postings on portals (jobs.cz, prace.cz, profesia.sk, indeed.com), company info, news, or any other web content. Results are NOT saved to contacts — use this for research and discovery. Capped at 4 calls per minute to protect the Serper/Google budget.

  ConnectorAPI key

• web_searchA

  TeardropA

  Real-time web search via Tavily for current events, fact-checking, and research. Use search_depth='advanced' for complex queries (higher quality, higher cost) and topic='news' or 'finance' for headlines or market information. Use when: Choose when the task needs current, external, or factual information not available from on-chain or local data — e.g. news, prices, documentation, or fact-checking. Limitations: Returns web snippets, not raw page bodies; results depend on Tavily coverage. Advanced depth costs more. Not a substitute for on-chain tools like get_token_price. Alternatives: get_token_price, http_fetch

  ConnectorNo auth

• list_factor_findingsA

  tw-market-dataA

  Verdicts from the overnight factor search on YOUR namespace — including the rejections. The rejections are returned deliberately. A research log that keeps only the winners is the highlight reel overfitting lives in, and the acceptance RATE is the number that tells you whether the anti-overfitting gate is doing its job: a search that accepts most of what it tries has a broken gate, not a talent for finding alpha. Every verdict carries the trial count it was judged against, so it can be re-checked. `coverage.missing` names hypotheses that were proposed but never judged because a cost ceiling was reached — those are UNTESTED, not rejected. An accepted factor is a FINDING with a run_id, not an allocation. Nothing here trades. Args: limit: how many verdicts to return, newest first (max 100).

  ConnectorNo auth

• sample_prism_reportA

  phi-longevity-prismA

  Returns a complete pre-generated SAMPLE Phi Longevity PRISM report for a fixed SYNTHETIC persona (58-year-old male, type-2 diabetes). It is a fixed sample: it takes no input, analyzes nothing you send, and is not a real patient. For research/education with SYNTHETIC or de-identified data only. Do NOT submit protected health information (PHI). This endpoint is stateless and does not store inputs.

  ConnectorNo auth

• get_finding_remediationA

  RoutebaseA

  Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.

  ConnectorAPI key

• withdraw_findingA

  northreachB

  Retract support for a finding you authored, with a reason. Original content remains visible and labeled withdrawn. Identical retries are safe; this does not claim the finding is disproven.

  ConnectorNo auth

• web_searchA

  teardropA

  Real-time web search via Tavily for current events, fact-checking, and research. Use search_depth='advanced' for complex queries (higher quality, higher cost) and topic='news' or 'finance' for headlines or market information. Use when: Choose when the task needs current, external, or factual information not available from on-chain or local data — e.g. news, prices, documentation, or fact-checking. Limitations: Returns web snippets, not raw page bodies; results depend on Tavily coverage. Advanced depth costs more. Not a substitute for on-chain tools like get_token_price. Alternatives: get_token_price, http_fetch

  ConnectorNo auth

• deep_researchA

  netcafe-docsA

  Start an autonomous web research task. The agent plans sub-questions, searches the web, reads the sources and writes a report with citations — this is real research, not a single model call, and takes 2-5 minutes. Returns a job_id immediately; poll check_job to get the report. Use this when you need sourced, current information rather than what a model already knows. Powered by gpt-researcher (29k stars) hosted at AI NetCafé. Example — tools/call deep_research {"topic":"State of MCP adoption in 2026?"} → poll check_job

  ConnectorNo auth

• list_security_guidanceA

  RoutebaseA

  List the static security guidance library — one entry per OWASP API-security issue with its remediation text, code examples and references. Pass guidanceId (the guidanceId of a finding) for a single entry. The library is global, not project-specific. Use this for the general library; for advice on one finding use get_finding_remediation.

  ConnectorAPI key

• devtune_acknowledge_retrieval_restrictionA

  DevTune MCPB

  Acknowledge an intentional retrieval restriction for only the exact URLs displayed in an audit finding. Requires explicit customer confirmation and actions.write. Preserves the finding, evidence and score. Never infer customer intent.

  ConnectorAPI key

• devtune_reconsider_retrieval_restrictionA

  DevTune MCPB

  Reconsider an intentional retrieval restriction for only the exact URLs displayed in an audit finding. Requires explicit customer confirmation and actions.write. Preserves the finding, evidence and score. Never infer customer intent.

  ConnectorAPI key

• scanverity_offersA

  Scanverity Resolution RulesA

  Use this when a user asks how to buy or price prediction-market resolution research, including a single written Polymarket contract review. Public information only: returns the written EUR100 report quote path, the separate EUR19 agent-order guide, and API access information. It does not create an account, order, report, invoice or charge. A quote request and an MCP connection are not purchases.

  ConnectorOAuth

• dcl_evaluate_mevA

  DCL Trust Oracle — AI/LLM Output Audit (x402 MCP)A

  POST-ACTION MEV & Market-Abuse Compliance Screen ($0.03). Text-level screen (not a mempool/transaction analyzer) for front-running/sandwich-attack language, wash trading/layering/spoofing, KYC/AML red flags (mixers, structuring, obscuring fund origin), and pump-and-dump/rug-pull language. Any critical-severity finding, or two or more major-severity findings, returns NO_COMMIT; a single major-severity finding is also returned as NO_COMMIT but with a distinctly higher `confidence` (~0.55 vs ~0.05-0.2 for harder violations) so downstream callers can tell a soft single flag apart from a hard multi-finding block. Each finding includes an illustrative `regulatory_reference` tag (MiFID II, FCA, or an EU AI Act article).

  ConnectorNo auth

• dismiss_findingA

  SecScanA

  Mark a finding as a false positive for this site, so future scans of it stop reporting it — the same as Dismiss in the app, and undoable there. ONLY use this after the user has confirmed the finding is wrong; never dismiss a real problem to improve a grade.

  Connector

  Destructive

  No auth

• search_datasetsA

  OpenaireA

  "Find research datasets about [topic]" / "open data on [subject]" / "look up [field] datasets" — search research datasets registered in OpenAIRE (Zenodo, Dryad, Figshare, B2SHARE etc.). Use for finding open research data to reuse / cite.

  ConnectorNo auth

• suppco_get_nutrient_infoA

  SuppCoA

  Use this when the user asks about dosing for a specific nutrient or supplement: typical daily intake ranges and upper limits from SuppCo's references, timing and whether to take it with food, plus a summary of its graded research. General information only; does not diagnose, treat or give personalized dosing advice. For what studies say about a supplement for a specific health area, use suppco_search_effects.

  ConnectorNo auth

• youtube_searchA

  LectionA

  Search YouTube for videos by keyword, like "n8n automation tutorial" or "best budget laptops 2026". Returns up to 20 videos with title, channel, view count, upload date, duration and URL. Use it for content research, finding competitors and spotting popular topics. To list videos from one specific channel use youtube_channel_videos instead.

  ConnectorNo auth

• search_peptidesA

  Peptide LibraryA

  Search the Peptide Library research database by name, synonym or alias (fuzzy), optionally filtered by research category or research area. Returns short educational profiles with evidence level and the canonical Peptide Library URL. Use get_peptide_details for the full profile. No dosing information.

  ConnectorNo auth

• remediate_findingsA

  quantakrypto pqc-toolsA

  Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.

  ConnectorNo auth