Pinecone Developer MCP
Official Pinecone MCP for developer workflows. Lets coding assistants search Pinecone documentation, list and configure indexes, generate code informed by index data, and upsert/query records during dev iteration. Apache-2.0, npm-distributed as @pinecone-database/mcp.
“Official Pinecone MCP for developer workflows. Star count is low (65) because Pinecone shipped this as a developer-experience tool, focused on internal workflows over community engagement. The editorial weight comes from official vendor signal: this is the canonical Pinecone agent-integration path, documented in the Pinecone docs at docs.pinecone.io/guides/operations/mcp-server. Slow development cadence (0 commits in the last 30 days, two releases total) reflects a stable API surface in maintenance mode. Designed for coding assistants working with Pinecone projects: search Pinecone documentation, list and configure indexes, generate code informed by index data, and upsert/query records during dev iteration. Limitation: only indexes with integrated inference are supported; standalone vector search and serverless indexes outside the integrated-inference family are out of scope. Pinecone also offers a separate pinecone-io/assistant-mcp for knowledge-base RAG workflows; this is the developer/admin counterpart.”
INSTALL THIS SERVER
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<your-pinecone-api-key>"
}
}
}
}
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<your-pinecone-api-key>"
}
}
}
}
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<your-pinecone-api-key>"
}
}
}
}
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<your-pinecone-api-key>"
}
}
}
}
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<your-pinecone-api-key>"
}
}
}
}
9 TOOLS AVAILABLE
OUR ASSESSMENT
- Official pinecone-io GitHub org.
- Apache-2.0 license.
- npm distribution as @pinecone-database/mcp.
- Documentation search built in (search-docs tool grounds answers in Pinecone docs).
- Cascading search across multiple indexes with deduplication and reranking.
- Documented in the Pinecone official docs.
- Gemini CLI extension format supported.
- 65 stars and slow development cadence; treat as a developer tool with stable API surface.
- Only indexes with integrated inference supported. Standalone vector search and serverless indexes outside the integrated-inference family are excluded.
- Two releases shipped since launch (v0.2.0, v0.2.1).
PINECONE_API_KEY env var holds the credential, scoped at the Pinecone project level. With no API key the server functions for documentation search alone; index management and data queries require the key. For shared dev environments, scope the API key to a non-production Pinecone project to avoid accidental writes against real data.
Developers building agents on top of Pinecone, teams wanting Pinecone documentation searchable from inside their coding assistant, and iterative index configuration and upsert/query testing during development.
TECHNICAL DETAILS
ADOPTION METRICS
// Reading this65 stars; the editorial weight is the official pinecone-io org placement plus documentation in the Pinecone official docs.
// Reading thisFourth-ranked in ai-ml. Tier 2 with honest framing: pair with Qdrant for evaluation; pick this when the team is already on Pinecone.
SOURCES & VERIFICATION
We don't take any single directory's word for it. Before scoring, we cross-reference 5 public MCP sources, install the server ourselves against the clients we cover, and record when we last re-verified.
The same server, 5 different lenses. We reconcile these signals into our editorial score, which is why our number sometimes diverges from a directory-aggregate star count.
| Source | Their rating | Their star count | Their downloads | Last synced |
|---|---|---|---|---|
| AutomationSwitch This page | 3.8editorial | 65 | — | APR 29, 2026 |
| PulseMCP | — unrated | unavailable | unavailable | APR 29, 2026 |
| MCP.so | — unrated | unavailable | unavailable | APR 29, 2026 |
| Glama | — unrated | unavailable | unavailable | APR 29, 2026 |
| Smithery | — unrated | unavailable | unavailable | APR 29, 2026 |
| Official MCP Registry | — unrated | unavailable | unavailable | APR 29, 2026 |
// Counts are directory-reported; we don't adjust them. Discrepancies usually come from different snapshot times or star-caching.
OTHER AI / ML MCP SERVERS
Cognee MCP
Knowledge graph plus vector memory engine for AI agents, exposed as an MCP server with V2 session-aware memory tools (remember, recall, forget, improve) and classic V1 ingestion pipelines (cognify, codify). Three transports: stdio, SSE, Streamable HTTP. 16,965 GitHub stars, Apache-2.0.
Codebase Memory MCP
High-performance code intelligence MCP server for AI coding agents. Indexes a codebase into a queryable knowledge graph in milliseconds, with 14 MCP tools spanning structural search, call-chain tracing, impact analysis, dead-code detection, and Cypher queries. Single static C binary, 66 languages via tree-sitter, zero runtime dependencies.
Arize Phoenix MCP
LLM observability platform exposing prompts, projects, traces, spans, sessions, datasets, and experiments through MCP. Published to npm as @arizeai/phoenix-mcp, current 4.0.8 (2026-04-29). 9,496 stars on parent monorepo, Elastic License 2.0.
Qdrant MCP Server
Official Qdrant vector database MCP server. Acts as a semantic memory layer on top of Qdrant: store information with metadata, retrieve via similarity search. Two tools, very small surface area, exceptionally maintained by the Qdrant team. Configurable embedding provider (fastembed default), supports remote and local Qdrant clusters.
Amazon Bedrock AgentCore MCP
Official AWS Labs MCP server for Amazon Bedrock AgentCore: agent runtime, memory, gateway, identity, and observability. Tools fetch curated AgentCore documentation and surface deployment guides for runtime, memory, and gateway resources. Apache-2.0 within awslabs/mcp monorepo (8,924 parent stars).
Vapi MCP
Vapi.ai voice AI server SDK with MCP server module. Manage voice assistants, trigger outbound calls, and inspect call transcripts. 118 GitHub stars and 14 commits on main in the last 30 days.
DISCUSS YOUR
MCP REQUIREMENTS.
Evaluating a server, scoping an internal deployment, or working out whether MCP is the right fit at all. Start the conversation and we will point you at the right piece of the ecosystem.