Watchlist tracking
Reviewed for relevance and future tracking value.
MCP100 Assessment
Watchlist / Tracking
Why we’re tracking it
Track storage, authentication, and memory-schema changes because the service persists agent context
Reviewed · Documentation review; complete setup workflow not independently tested
Best fit
Persistent self-hosted agent memory with semantic search and knowledge-graph features.
What we know
A persistent memory backend exposing MCP, REST, OAuth, CLI and dashboard interfaces with local embeddings and multiple storage backends.
Maintenance / activity evidence
- Observed (UTC)feat(metrics): opt-in Prometheus /metrics endpoint ( 1097) ( 1456)
Tracking evidence observed Oct 5, 2026. These dated signals do not establish current maintenance. Reviewed enrichment confidence: high.
Verification gaps / watch-outs
- Installation and comprehensive security have not been independently audited.
- Memory store/search/admin capabilities. Writes: Store/delete memories.
- OAuth for remote; optional anonymous local mode
- Sensitive access: Project context, Decisions, Agent memory
- Persistent memory can contain sensitive long-lived context; protect remote access and choose storage backends deliberately.
Full authority, access and evidence limits are available in Review context and Access & risk.
Popularity
1,987 repository stars · 8.6k package downloads / 30 days
Stars observed Oct 6, 2026. Downloads observed Oct 6, 2026.
All limitations / Review context
What storage and OAuth behavior does the current MCP memory service document?
The bounded assessment reviewed the official README, repository notices, security policy path, and security page for known material public-tracking blockers. No such blocker was identified. This is a public-tracking assessment, not an installation safety certification.
- Persistent memory can contain sensitive long-lived context; protect remote access and choose storage backends deliberately.
- Memory store/search/admin capabilities.
- OAuth for remote; optional anonymous local mode
- Memory may be local or synced to optional remote backends.
- Reviewed write actions: Store/delete memories
- Sensitive access: Project context, Decisions, Agent memory
- Installation, client compatibility and comprehensive security have not been independently audited. Authentication and access depend on the configured services.
- No independent runtime, installation, or comprehensive security audit was performed.
- No installation, runtime, client matrix, or complete tool-contract audit was performed in this review.
- Remote browser access requires HTTPS/OAuth.
- Network exposure must be explicitly secured.
Original activity observations
- 2026-10-05T05:25:20Z: feat(metrics): opt-in Prometheus /metrics endpoint ( 1097) ( 1456)
Technical identity
github.com/doobidoo/mcp-memory-service- Exact implementation source
- https://github.com/doobidoo/mcp-memory-service ↗
- Reviewed resource type
- MCP Server
- Repository identity
- doobidoo/mcp-memory-service
- Package identity
- pypi:mcp-memory-service
- Service endpoint
- http://localhost:8000
Evidence & Sources
- Evidence basis
- Recorded source evidence
- Setup runtime verification
- Not independently runtime-tested by MCP100 for this setup workflow.
Reviewed · Latest source observation
- GitHub repository ↗
doobidoo/mcp-memory-service
Recorded repository material and project history.
- Evidence source ↗
pypi.org/project/mcp-memory-service/
Source material retained for this review.
Includes references whose attribution is not established.
Setup · Watchlist
Install & Agents
Claude Code
Publisher instructions with a documented client setup path.
Source evidence observed .
Additional setup details required — see the specific gaps below.
Install / connect
Publisher instructionsPublisher-specific setup path. Follow prerequisites, then register or connect to your MCP host.
publisher documented install or connect · Publisher instructions · Review before use
pip install mcp-memory-serviceConfigure / authenticate
Publisher instructionsClaude Code: `claude mcp add memory -- memory server`; Claude Desktop entry uses command `memory` args `["server"]`. Local SQLite-vec needs no Cloudflare credentials.
Advanced configuration · claude desktop json · Publisher instructions
claude desktop json · Publisher instructions
{ "mcpServers": { "memory": { "args": [ "server" ], "command": "memory" } } }Check connection
Publisher instructionsPublisher: `memory server --help`, then verify MCP `memory_search` and `memory_store` appear (do not store a test memory without consent).
read only check · Publisher instructions
memory infoRemove / uninstall / revoke
MCP100 setup guide`claude mcp remove memory` unregisters Claude Code; optionally `pip uninstall mcp-memory-service`. Preserve saved memory DB unless explicitly deleting.
MCP100 client-scope guidance: each CLI removal example targets only its named client and exact registered entry. Package names, Desktop/Cursor configuration keys and Codex/Claude registration names may differ; use the entry you actually registered. Client removal does not revoke provider credentials.
claude mcp remove memory
What it does
A persistent memory backend exposing MCP, REST, OAuth, CLI and dashboard interfaces with local embeddings and multiple storage backends.
- Capability
- Files & Knowledge
- Resource type
- MCP Server
- Best fit
- Persistent self-hosted agent memory with semantic search and knowledge-graph features.
Representative uses
- Store/retrieve semantic memories
- Share memory across sessions/agents
- Use dashboard/REST/MCP access
- Run local or hybrid storage
Limitations
- Remote browser access requires HTTPS/OAuth.
- Network exposure must be explicitly secured.
Reviewed access
Access & risk
Review the exact access boundary before connecting this MCP to accounts, credentials, or sensitive data.
- Authentication
- OAuth for remote; optional anonymous local mode
- Permissions
- Memory store/search/admin capabilities.
- Data handling
- Memory may be local or synced to optional remote backends.
- Cost
- free
- Risk and cautions
- Persistent memory can contain sensitive long-lived context; protect remote access and choose storage backends deliberately.
Access scope and cautions
- Write actions
- Store/delete memories
- Sensitive access
- Project context Decisions Agent memory
- Risk level
- moderate
FAQ
Based on reviewed evidence as of 2026-10-06. Watchlist tracking is not a recommendation or a security certification.
Which tasks are documented for this implementation?
What setup and authentication are documented?
Can it modify data or perform write operations?
What data-handling boundary should I consider?
What limitations and risks should I check before use?
Is this an official MCP?
doobidoo is listed as Community implementation in MCP100’s current evidence.