moltline-recall

https://mcp.moltlinestudio.com/recall

Scanned Sep 5, 2026

A94/100

ClarityAre your tools built for AI agents?

100

ProtocolDoes it speak MCP correctly?

AuthIs the front door locked properly?

ReliabilityWill it be there when you need it?

100

TrustWho's behind this, and do they ship?

100

SafetyCan agents use it without breaking things?

MarketIs this worth building?

Upgrade available

Your server uses protocol 2025-06-18. The latest version is 2025-11-25 with session management, origin validation, and notification support.

Strengths & Weaknesses

Top Issues

2 found

MEDIUM

No authentication required — server is open to anonymous access, which may be intentional for public tools

MEDIUM

Multiple similar MCP servers exist. Consider differentiating with unique features.

Protocol & Capabilities

Transport:Streamable HTTP✓

Protocol:2025-06-18✓

SSE Support:Yes✓

Session ID:Yes✓

Protocol Checks

✓

Ping

Server responded to ping

✓

Session ID

Valid Mcp-Session-Id assigned (32 chars)

✓

Version Header Validation

Server correctly rejects invalid MCP-Protocol-Version with 400

✓

JSON-RPC Validation

Server correctly rejects malformed JSON-RPC with 400

✓

Origin Header

Server correctly rejects invalid Origin with 403

✓

Session Termination (DELETE)

Server returns 405 for DELETE (acceptable — session termination not supported)

✓

Notification Handling (202)

Server returns 202 Accepted for JSON-RPC notifications

Server Info

Server info: name, version

Server Capabilities

✓Tools

✓Resources

✓Prompts

○Completions

○Tasks

✓Logging

Auth

○

No OAuth? That's OK

OAuth is optional, but consider it for production deployments to protect your server from unauthorized access.

Trust

✓Latency: 165ms

✓HTTPS

✓Custom domain detected

✓Name: moltline-recall, Version: 1.1.0

✓Structured errors

Market

UniquenessCan it be done with an LLM alone?

9/10

external: request, path, database; LLM-native: lint

OriginalityHow many similar servers exist?

1/10

5+ similar servers — crowded space

DemandHow broad is the audience?

8/10

Domain "database" has broad developer audience

Competitors found

I built an MCP server that gives Claude Code a knowledge ...

MCP server that indexes your codebase into a persistent knowledge graph. Tree-sitter parses 64 languages into a SQLite-backed graph — functions ...

Does MCP replace GraphRAG?

MCP is a popular access layer to GraphRAG. It increases the accessibility of who can query the graph, while leaving the graph's content and ...

Introducing the Memgraph MCP Server

The Memgraph MCP Server is a MCP Server that speaks directly to a running Memgraph database. It acts as a bridge between LLM and Memgraph.

mcp-knowledge-graph by shaneholloman

Persistent memory for AI models through a local knowledge graph. Store and retrieve information across conversations using entities, relations, and observations ...

Playing around with MCP (Model Context Protocol)[1] ...

Built an MCP server that gives coding agents actual structural memory of your codebase Results from published research backing the approach: − ...

Tools (6 tools)

graph_upsertRead80

“graph_upsert: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”

!Naming:10/15

!Description:15/20

!Input Schema:15/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

graph_searchRead90

“graph_search: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”

!Naming:10/15

✓Description:20/20

✓Input Schema:20/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

graph_diffRead80

“graph_diff: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”

!Naming:10/15

!Description:15/20

!Input Schema:15/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

graph_lintRead80

“graph_lint: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”

!Naming:10/15

!Description:15/20

!Input Schema:15/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

graph_at_timeRead90

“graph_at_time: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”

!Naming:10/15

✓Description:20/20

✓Input Schema:20/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

graph_compactRead90

“graph_compact: 90 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 20/20, Annot: 15/15”

!Naming:10/15

✓Description:20/20

✓Input Schema:20/20

✓Output Schema:10/10

✓Annotations:15/15

!Error Hints:10/15

Publish on MCPize

Get OAuth, billing, and discovery for free. Your server scored A — developers are looking for this.

Get Started →

Share on Twitter Share on LinkedIn