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MCP server · RAG

MWGMorningwood/Central-Memory-MCP

grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.

Unclaimed rag
34Low

Scored 6 months ago · breakdown

About MWGMorningwood/Central-Memory-MCP

MWGMorningwood/Central-Memory-MCP is an MCP server in the RAG category: grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.

Install

From source
git clone https://github.com/MWGMorningwood/Central-Memory-MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Central Memory MCP Server (.NET 10 Azure Functions)

Trust Score

Model Context Protocol (MCP) compliant memory & knowledge graph server implemented in .NET 10 (Azure Functions isolated worker). Provides durable project memory (entities, relations, observations) for AI assistants with workspace isolation and simple HTTP tool endpoints.

Implemented MCP Tools

Current function set (alpha stage):

  • read_graph - returns all entities for a workspace (relations currently queried separately and joined)
  • upsert_entity - create or update entity (preserves existing Id if name exists)
  • upsert_relation - create or update relation between two entities (requires GUIDs or resolvable names)
  • get_entity_relations - list relations originating from a specific entity
  • Health & Ready endpoints (/api/health, /api/ready)

Planned (not yet implemented): search_entities, search_relations, stats, temporal, batch operations, merge/detect duplicates.

Data Model

  • Entities table: PartitionKey = WorkspaceName, RowKey = Guid (Id)
  • Relations table: PartitionKey = WorkspaceName, RowKey = Guid (Id)
  • Workspaces table (future expansion)

Observations stored as a single delimited string ("||") internally; split into List at read time.

Quick Start

dotnet restore
dotnet build
func start --port 7071
curl http://localhost:7071/api/health

To read the graph, invoke the read_graph MCP tool from the client and supply the workspaceName parameter.

Directory Layout

flowchart TD
    A[CentralMemoryMcp.Functions]
    A --> P[Program.cs]
    A --> SR[ServiceRegistration.cs]
    A --> F[Functions]
    F --> GF[GraphFunctions.cs]
    F --> HF[HealthFunctions.cs]
    A --> S[Services]
    S --> KGS[KnowledgeGraphService.cs]
    A --> ST[Storage]
    ST --> TSS[TableStorageService.cs]
    A --> M[Models]
    M --> GM[GraphModels.cs]
    A --> CFG[appsettings.json]
    A --> HOST[host.json]

Usage Notes

  • Use workspaceName consistently; workspaceId in docs replaced.
  • Upsert preserves entity identity by lookup on (WorkspaceName + Name).
  • Relation upsert requires entity GUIDs or resolves names; fails if names missing.

Logging & Telemetry

Add Application Insights connection to capture request latency & storage dependency tracking (future enhancement).

Roadmap

Add search, pagination, stats aggregation, batch operations, duplicate detection, merge strategy, semantic vector layer.

License

MIT.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About MWGMorningwood/Central-Memory-MCP

How do I install MWGMorningwood/Central-Memory-MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is MWGMorningwood/Central-Memory-MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MWGMorningwood/Central-Memory-MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.