knowledge-graphmemoryazureazure-functionsdotnet
Azure Functions MCP server for workspace-isolated project memory stored as entities, relations, and observations.
Quick Install
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Manual Client & Custom JSON ConfigExpand JSON ▾
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Overview
Use cases
Read all entities in a workspace
Create or update project entities
Create or update relations between entities
List relations originating from an entity
Separate memory across development workspaces
Key features
Workspace-isolated entity and relation storage
Entity upserts that preserve existing IDs by name
Relation upserts using GUIDs or resolvable entity names
Observation storage with list conversion on read
HTTP health and readiness endpoints
Azure Table Storage data model
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by Central Memory MCP.
Extracted Tool Capabilities
Workspace-isolated entity and relation storage
Entity upserts that preserve existing IDs by name
Relation upserts using GUIDs or resolvable entity names
Observation storage with list conversion on read
HTTP health and readiness endpoints
Azure Table Storage data model
Documentation Overview
Central Memory MCP Server (.NET 10 Azure Functions)
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
To read the graph, invoke the read_graph MCP tool from the client and supply the workspaceName parameter.
Directory Layout
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.
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
3
Stargazers on the source repository.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.
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Frequently Asked Questions about Central Memory MCP
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CategoryKnowledge & Memory
PricingFree
41Quality signal: Fair · 41/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools19/30
Adoption & activity2/15
Community engagement0/10
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