Kagi MCP Server vs Postgres MCP Pro

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Kagi MCP Server MCP Servers	Postgres MCP Pro MCP Servers
Tagline	Official Kagi Search MCP server: search and extract the web from any MCP-compatible agent.	Open-source Postgres MCP server with deterministic health checks, index tuning, and safe SQL execution.
Category	MCP Servers	MCP Servers
Pricing	Paid· Free: $0 USD · Team: $4 USD per user/month · Enterprise: $21 USD per user/month	Free· Free and open source (MIT license). No paid tiers.
Model	—	Model-agnostic (works with any MCP-capable LLM); optional OpenAI models for experimental LLM-based index tuning
Editorial score	—	—
Use cases	agent web search groundingClaude Code documentation lookupdeep-research pipelinesURL to Markdown extraction for RAGnews and video search from an LLMKagi lens-scoped queries in agentscitation gathering for research assistantscoding agent error-message lookups	AI-assisted query optimization in Cursor or Claude DesktopAutomated index recommendations for slow workloadsEXPLAIN plan review with hypothetical indexesProduction database health monitoring via LLM chatDetecting bloated, duplicate, or unused indexesVacuum and transaction-id wraparound risk auditsSafe read-only SQL exploration by AI agentsSchema introspection for LLM SQL generationShared team Postgres MCP endpoint over SSE
Pros	Official, first-party MCP server maintained by Kagi (not a community wrapper) Two clean tools that cover the 90% agent case: search and full-page Markdown extraction Both hosted (mcp.kagi.com) and local (uvx/Docker) deployment modes Documented setup recipes for Claude Desktop, Claude Code, Codex CLI, Kiro, OpenCode, Smithery MIT-licensed Python code, easy to fork or audit Rides Kagi's ad-free, spam-de-boosted index rather than generic SERP APIs Supports Kagi lenses and filters so agents can scope searches to news, docs, etc.	Deterministic index tuning based on the Anytime Algorithm plus hypopg what-if simulation, not LLM guesswork Comprehensive PgHero-derived health checks covering bloat, cache, connections, vacuum, replication, and sequences Restricted mode enforces read-only transactions and blocks COMMIT/ROLLBACK escapes via pglast SQL parsing Works with any MCP client (Claude Desktop, Cursor, Windsurf, Cline, Goose, Qodo Gen) and supports both stdio and SSE transports MIT-licensed and free; installs via Docker, pipx, uvx, or uv with clear per-client config recipes Cost-benefit index selection along the Pareto front with configurable performance-vs-storage threshold Actively maintained by Crystal DBA with Discord community and public roadmap on GitHub
Cons	Requires a paid Kagi API key with pay-per-use billing; not usable free FastGPT and Universal Summarizer tools are currently absent (rewrite in progress) Python + uv toolchain assumption raises the bar vs. a single-binary MCP server Small surface area: no built-in caching, batching, or spend controls beyond Kagi's invoice cap Hosted endpoint means your queries and Bearer token traverse Kagi infra, not a concern for everyone but worth noting for regulated workloads	Postgres-only; no MySQL, SQL Server, or other database support Full-featured tuning requires pg_stat_statements and hypopg extensions, which self-managed installs may need to install manually Only two coarse access modes (unrestricted vs restricted) with no per-table or column-level ACLs Credentials are supplied at startup via DATABASE_URI, so switching databases means restarting the server Experimental LLM-based index tuning requires an OpenAI API key and adds external cost/latency Workload compression is basic (query normalization, equal weighting), which can misrank importance in complex workloads
Website	github.com	github.com

Pick Kagi MCP Server if

✅ Official, first-party MCP server maintained by Kagi (not a community wrapper)
✅ Two clean tools that cover the 90% agent case: search and full-page Markdown extraction
✅ Both hosted (mcp.kagi.com) and local (uvx/Docker) deployment modes
✅ Documented setup recipes for Claude Desktop, Claude Code, Codex CLI, Kiro, OpenCode, Smithery

Pick Postgres MCP Pro if

✅ Deterministic index tuning based on the Anytime Algorithm plus hypopg what-if simulation, not LLM guesswork
✅ Comprehensive PgHero-derived health checks covering bloat, cache, connections, vacuum, replication, and sequences
✅ Restricted mode enforces read-only transactions and blocks COMMIT/ROLLBACK escapes via pglast SQL parsing
✅ Works with any MCP client (Claude Desktop, Cursor, Windsurf, Cline, Goose, Qodo Gen) and supports both stdio and SSE transports

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