{"id":"krajcik-manticore-mcp-server","name":"manticore-mcp-server","homepage":null,"repo_url":"https://github.com/krajcik/manticore-mcp-server","category":"search","subcategories":[],"tags":["mcp","manticore","search","go","database","agent-tools","integration"],"what_it_does":"An MCP (Model Context Protocol) server that exposes Manticore Search capabilities to MCP-compatible clients, including search, document insert/update/delete, table/index inspection, and cluster status/management tools.","use_cases":["AI-assisted full-text search across Manticore indexes","Index/table schema discovery for building search workflows","Automating document ingestion and updates via an agent","Operational visibility for cluster health/status monitoring","Implementing agent-driven boolean/fuzzy search with highlighting"],"not_for":["Untrusted or internet-exposed deployments without network/auth controls","Production cluster management via an LLM/agent without strict safeguards","Regulated environments requiring strong documented compliance and audit controls"],"best_when":"You run Manticore Search in a controlled environment and want agent tools for search and index management with predictable query/result limits.","avoid_when":"You cannot restrict who can operate destructive tools (delete/update) or you lack observability for agent-driven actions.","alternatives":["Use Manticore Search HTTP API directly with your own client/orchestration","Build a custom wrapper service with auth, auditing, and strict allowlists over Manticore endpoints","Use existing MCP servers (if available) for search platforms compatible with your stack"],"af_score":45.8,"security_score":32.0,"reliability_score":21.2,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:51:52.638438+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":[],"oauth":false,"scopes":false,"notes":"No authentication/authorization mechanism is described for the MCP server; access appears to be gated only by where the server is deployed and the reachability of the underlying Manticore HTTP endpoint."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided (open-source MCP server)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":45.8,"security_score":32.0,"reliability_score":21.2,"mcp_server_quality":55.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":30.0,"rate_limit_clarity":10.0,"tls_enforcement":40.0,"auth_strength":10.0,"scope_granularity":10.0,"dependency_hygiene":50.0,"secret_handling":60.0,"security_notes":"No auth/scopes are documented for the MCP server; destructive and cluster-management operations are exposed as tools, increasing blast radius if misused. TLS/auth to the Manticore endpoint is not documented (example uses http://localhost). No explicit guidance is provided on logging/secret handling, allowlisting tools, or auditing agent actions.","uptime_documented":0.0,"version_stability":35.0,"breaking_changes_history":30.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"configurable result limits and pagination","retry_guidance_documented":false,"known_agent_gotchas":["Agent may call destructive tools (delete/update) unless the MCP client or tooling is configured to prevent it.","Underlying Manticore HTTP endpoint is referenced as reachable at /search; failures/timeouts may need tuning via REQUEST_TIMEOUT.","Pagination/limits depend on MAX_RESULTS_PER_QUERY and tool parameters; agents may otherwise request many results and incur performance costs.","Cluster management tools are noted as 'use with caution in production', which is especially relevant for autonomous agents."]}}