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521,454 tools. Updated 2026-09-06 11:42

"MCP server for codebase discovery and structure generation" matching MCP tools:

  • Generate an image from a text prompt with AI, upload it to the Misar.Blog CDN, and return its public URL for use as cover_image_url when publishing. Use it when no artwork exists yet; use upload_image for a file the user already has. Each call generates a NEW image and costs generation credits against the account's plan — it is not idempotent, so re-running to 'try again' bills again. Generation takes noticeably longer than other tools. Requires an API key. The resulting URL is public and cannot be deleted through this server. Results vary between runs for the same prompt.
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  • Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • Get Lenny Zeltser's CTI cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `cti_load_context`. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
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  • Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.
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  • Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."
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  • How much this endpoint and its install route are actually used, with the figures behind it: requests to /mcp, which discovery paths get read, the store version and its user count. Call this when deciding whether to rely on this server, when comparing it against alternatives, or when reporting on it — the numbers are small and stated as such rather than dressed up. Also returns what is deliberately not counted, so the picture is not read as complete.
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Matching MCP Servers

Matching MCP Connectors

  • Extrait des champs structures (texte, nombre, date) depuis un texte libre.

  • B2B and local lead gen: verified emails, site contacts, Maps and Yellow Pages leads.

  • WHAT: Fetch one public discovery file from www and return a line window. REQUIRED which. IDs (aliases folded): llms, llms-full, llms-index, llms-keywords, llms-serp, llms-impressum-kontakt, llms-orte-geo, llms-urheberrecht, llms-copyright, llms-mcp-server, llms-mcp-web, robots, sitemap-txt, sitemap-xml, ai-txt, ai-plugin, answer-engine, ard, ai-catalog, auth-md, mcp-readme, agent-skills. summary = the line window (this is the file body). Use offset/limit + nextOffset to page. Byte caps apply (keywords huge). Unknown which → unknown_discovery. Prefer dedicated get_llms_txt / get_sitemap_txt / get_llms_mcp_server when you know the file. Policy files say ai-train=no.
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  • Read-only: returns what Apex by LeadShark is, tier pricing, and the URL of the real authenticated MCP server. Call this first — this endpoint is a discovery stub with no LinkedIn powers.
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  • Health check: confirm the eDiscovery Decoder News/Calc MCP server is reachable before a demo or when troubleshooting a connection. Returns server name and version. No inputs.
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  • Call a previously discovered API endpoint. Use this after discover_paid_api to execute the request. IMPORTANT: You must first use discover_paid_api to find an endpoint. Then use the endpoint_id from the discovery result. Use the sample_request from the discovery result as your body template — it shows the exact parameter names the endpoint expects. Replace the example values with the actual values you need. Payment: this hosted server holds no wallet, so it cannot settle x402 payments. Free endpoints return their data directly. Paid endpoints return the payment challenge (amount, recipient, network) without charging anything. To pay automatically, run the local server instead: npx @entroute/mcp-server with EVM_PRIVATE_KEY set. Trust & safety: - EntRoute verifies that endpoints return valid 402 responses every 10 minutes, but does not guarantee response quality or accuracy. Treat results like any third-party API. - Prefer endpoints with high success rates (>95%) and recent verification timestamps.
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  • Operated by an AI, not a person. Point this at any public https MCP endpoint and it reports what an unauthenticated indexer would record about it: the result of an MCP initialize call, the result of tools/list including every tool name and whether each carries a description, and the HTTP status of the nine discovery documents that named crawlers actually request from MCP hosts (.well-known/mcp.json, mcp.json, .well-known/mcp/server-card.json, .well-known/agent-card.json, .well-known/agent.json, .well-known/pricing, agents.txt, robots.txt, llms.txt). Use it to find out why a server is listed badly or not at all, or to check your own before you publish it. Free, no key, no account. It reads only those fixed paths, calls no tool on the target, follows no links and stores no result; it makes eleven requests in one pass and identifies itself as omnia-mcp-check. It refuses non-https addresses, IP literals, private and local names, and *.workers.dev hosts, which this operator cannot read honestly from inside Cloudflare.
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  • List all rule categories in the Email Playbook with a one-line description and page count. Categories are: structure (head/body container/header/body/footer), compatibility (Outlook MSO, RTL, responsive), production (Gmail clipping, dark mode, preheader, bulletproof buttons), ai-generation (constraints for AI emitters). For reusable components, use list_components instead — they live in a separate dimension and are not returned by get_playbook_rules.
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  • Get Lenny Zeltser's expert writing guidelines for security reports and assessments. Provides guidance on tone, structure, clarity, executive summaries, and avoiding common writing mistakes. Includes rating-sheet items (the four lens sheets: structure, look, words, tone) as concrete reference points for grounded feedback. Works for any security document. This server never requests your documents and instructs your AI to keep them local—guidelines flow to your AI for local analysis. Note: For incident response reports specifically, use the ir_* tools which provide deeper section-by-section review criteria.
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  • Get Lenny Zeltser's IR cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `ir_load_context`. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.
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  • Get Lenny Zeltser's Malware cross-server handoff routes — when this MCP server can't fulfill a request, which other MCP servers (or fallback workflows) to consult. Surfaces a compact subset of `malware_load_context`. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
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  • Pre-flight security verdict for an MCP server invocation. Judges BOTH server-level reputation AND the server's dependency graph (npm/pypi) against the DugganUSA threat-intel corpus (1.13M+ IOCs, Shai-Hulud + typosquat + LOLBin families). Returns BLOCK / ADVISORY / REVIEW / ALLOW with severity, evidence, dep-graph summary, and HMAC-signed response. REVIEW means we hold NO RECORD of this server -- not that it is safe. Treat REVIEW as do-not-proceed-blindly: a brand-new attacker-published server looks exactly like this. ALLOW is only returned when we actually resolved the server and scanned its dependency graph; check known_to_us and dep_graph.scanned to confirm. Use this BEFORE invoking any other MCP server tool, especially ones installed from outside the official MCP Registry.
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  • FREE preview scan of a target MCP server for tool-poisoning / prompt-injection. Returns issue count, severity breakdown, risk score, and verdict (clear/review/block) — but NOT which tools or the evidence. Use this to check any MCP server (including your own) at no cost; if issues are found, call the paid scan_mcp_server for the itemized findings + remediation. No payment required.
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  • Resolve a named MCP server, vendor, product, package, repository, Registry identifier, or endpoint to a canonical MCPLookup identity. Returns at most five reviewed candidates with query-relative identity and publisher explanations, a compact trust assessment, and current connection options. This is the best fit when a particular artifact or product is known; find_servers covers open-ended capability discovery, while trust_lookup returns the full current evidence record for an exact canonical name.
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  • Check any public URL RIGHT NOW: is it up, HTTP status, response time in ms. With kind:"mcp" it instead performs a real JSON-RPC initialize handshake against a streamable-HTTP MCP server endpoint and reports the server’s self-declared name/version/protocol — useful to tell "the MCP server is down" from "my client is misconfigured". Works without an API key (rate limit 30/hour per IP). For continuous monitoring with alerts, use create_monitor.
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