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649,985 tools. Updated 2026-10-10 00:24

"Elasticsearch" matching MCP tools:

  • Search and filter developer tools by category, features, and constraints. Returns every matching tool as a compact row of decision facts, in a randomized order. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: category, freeToStart, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: the number of matches, a breakdown of them (kind, cost to start, MCP support, edge, self-hosting), and one table row per match (slug, name, kind, cost to start, MCP, edge, self-host, twin, base score, last verified), up to 100 rows. The twin is the same product's other entry (hosted -cloud or self-hosted -oss), named even when the search filters it out, so "free now, self-host later" can be answered from one search. Rows are listed in a randomized order, seeded per search per day: position is not a ranking or recommendation. Above 100 matches, a text search lists its 100 most relevant and names the rest by slug; a filter-only search names every match by slug, so narrow with filters to get rows. Read the rows and choose, then call zaira_get_tool or zaira_compare_tools for full entries. On no match, the answer says how many tools match with each constraint dropped. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", freeToStart: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. - "Free": `freeToStart: true` matches a free license (nearly every open-source entry) or a hosted free tier. `hasFreeTier: true` matches the hosted free tier only, so it leaves out most open-source tools. Open source is free to use, not free to run. Risk: read-only, closed-world, idempotent — no state change possible.
    ConnectorNo auth
  • Search US federal trademarks by mark text — the clearance/knockout-search path. Find registered and pending marks by wordmark without knowing a serial or registration number, then filter by international class and live/dead status to see which marks are actually enforceable. Covers the full USPTO register (the tmsearch.uspto.gov Elasticsearch backend that replaced TESS). Keyless. Use this to check whether a proposed brand name conflicts with existing US trademarks. Returns wordmark, serial and registration numbers, status, live flag, international classes, goods/services, owner, and filing dates. For a name-availability check, set live_only:true and pass the relevant class (e.g. 35 for advertising/business, 42 for software/SaaS, 9 for downloadable software).
    ConnectorNo auth
  • Get full details for a specific developer tool by its slug. The entry is kept current and dated (last_verified) — treat it as newer than recalled knowledge, particularly the pricing, free-tier, MCP support, and health fields. Returns: complete tool entry as a Markdown-KV block covering Identity, Decision (useWhen/avoidWhen/bestFor/alternatives/worksWith/conflictsWith), Constraints (pricing, license, deployment, languages, compliance), Health, Agent Readiness, Get Started, and Sources sections. Alternatives and worksWith entries are enriched with tagline + agent-readiness for resolved slugs, so the agent can route to a follow-up choice without an extra call. If the slug is not found, returns an error with similar-slug suggestions. Examples: - Postgres core engine: {slug: "postgresql"} - Stripe (single entry, no -cloud/-oss split): {slug: "stripe"} - Hosted Redis: {slug: "redis-cloud"} Self-hosted Redis: {slug: "redis-oss"} - Hosted Supabase: {slug: "supabase-cloud"} OSS Supabase: {slug: "supabase-oss"} - GitHub's MCP server: {slug: "github-mcp"} Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` for the managed lane, `{base}-oss` for the self-hosted lane (redis, supabase, mongodb, docker, elasticsearch, grafana, terraform, ...). Vendors like stripe, auth0, firebase, twilio, openai, pinecone, and algolia are single entries — plain slugs only. - Slugs derived from package names use hyphens where the name uses a dot (e.g., "nextjs" not "next.js"; "vuejs" not "vue.js"). - Slugs are case-sensitive lowercase. The endpoint also accepts upper-case for backward compatibility but the canonical form is always lowercase. Risk: read-only, closed-world, idempotent — no state change possible.
    ConnectorNo auth
  • Avançado: envia uma query Elasticsearch crua pro índice do tribunal (escape hatch). `query` é SÓ a cláusula de busca (ex.: { match: { "classe.nome": "Apelação" } }); size, sort, _source e search_after vão nos campos próprios. Use search_after (valor `sort` do último hit) pra paginar além de 10.000 resultados. A API pública do CNJ é lenta em índices grandes: prefira size pequeno e `_source` com só os campos que precisa.
    ConnectorNo auth
  • Full-text search across page transcriptions Performs a full-text search across the page transcriptions of historical documents indexed by Open Archives. Mirrors the search UI at `/transcripties/zoek.php`. Results are ordered by Elasticsearch relevance (the order is fixed and cannot be overridden) and are returned paginated. Each match includes a source citation, page identifier and up to five highlighted text fragments. The set of facets returned depends on the supplied filters.
    ConnectorNo auth
  • Per-link performance: clicks, revenue, commissions, GMV, conversion rate. Returns a top-line summary, a daily histogram, and paginated per-link rows with lifetime_* and filtered_* (date-range) metrics. With include_comparison it also returns the prior period, deltas, and generated insights — use that for any 'how does this compare' question. Dates are Elasticsearch date math (now-29d/d, now/m).
    ConnectorOAuth

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.
    18
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.
    57 npm
    1
    MIT

Matching MCP Connectors

  • Compute BM25 relevance score between a query and one or more documents. BM25 is the industry-standard keyword-based ranking algorithm used in Elasticsearch, OpenSearch, and Weaviate hybrid search. Returns ranked results with normalized scores.
    ConnectorNo auth
  • Dependency health of the travel vertical service: reachability of its elasticsearch/postgres/redis plus whether the embedding model is loaded (it loads lazily on the first sentiment search).
    ConnectorNo auth
  • Compare 2-3 developer tools side by side. Returns each tool's full Markdown-KV entry separated by "===". Alternatives and worksWith are enriched with tagline + agent-readiness for resolved slugs. If any requested slugs are not found, they appear in a trailing "Note: slugs not found: ..." line; the comparison still returns for the ones found. Examples: - Three search engines: {slugs: ["meilisearch-oss", "algolia", "elasticsearch-oss"]} - Two ORMs: {slugs: ["drizzle-orm", "prisma"]} - Three auth providers: {slugs: ["auth0", "clerk", "keycloak"]} - Hosted vs self-hosted for the same vendor: {slugs: ["redis-cloud", "redis-oss"]} — shows deployment trade-off - Postgres engine vs hosted offerings: {slugs: ["postgresql", "supabase-cloud", "cockroachdb-cloud"]} Edge cases: - Cross-category comparisons (e.g., {slugs: ["auth0", "redis-cloud"]}) are allowed but rarely useful. Same-category comparisons answer "which should I pick?" better; cross-category answers "these coexist in my stack" — a compatibility question. - Minimum 2 slugs, maximum 3. Four or more is a validation error; for more, run pairs. - Invalid or unknown slugs are listed under "slugs not found"; the partial comparison returns for valid ones. - Duplicate slugs in the array are deduplicated. - A few tools are single entries (no -cloud/-oss split): stripe, auth0, firebase, twilio, openai, pinecone, algolia. Don't pass "stripe-cloud" — it doesn't exist. Risk: read-only, closed-world, idempotent — no state change possible.
    ConnectorNo auth
  • List contacts (customers, leads, adjusters, subcontractors…), newest first by default, optionally filtered with an ElasticSearch-style query. Returns {count, results}. JobNimbus: GET /contacts.
    ConnectorNo auth
  • Search the full PDL Person Dataset with an Elasticsearch query object OR a SQL string over the Person Schema (e.g. everyone with job_title_role='engineering' at a company). Returns matching profiles sorted by completeness; paginate with scroll_token. Each returned record costs 1 credit. API: POST /person/search.
    ConnectorNo auth
  • Search the full PDL Company Dataset with an Elasticsearch query object OR a SQL string over the Company Schema (e.g. all SaaS companies with 50-200 employees in the US). Paginate with scroll_token. Each returned record costs 1 credit. API: POST /company/search.
    ConnectorNo auth
  • Search PDL's Job Posting Dataset (millions of active & historical postings sourced from company career pages) with an Elasticsearch query object OR a SQL string. Beta — may require plan access (HTTP 403 if not enabled). Each returned posting costs 1 credit. API: POST /job_posting/search.
    ConnectorNo auth