MCP.Market

GRAFOMEM CGR Read MCP server

online · 96% uptime
by grafomem.com·com.grafomem/cgr-read·v0.1.0·3 stars

Read Foundation-signed, offline-verifiable CGR agent-reputation attestations. No install.

A87/100grade A
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Safety scan
A87/100

full report

Adoption
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3 stars

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GRAFOMEM CGR Read tools

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Public scan report

scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 333ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityauth enforced (unknown)9/15
  • Maintenancelast push 14 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 87/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How GRAFOMEM CGR Read compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
87/100
higher than 78% of 4,460 AI and agents servers
Uptime
96%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
136 ms
faster than 79% of 2,331 AI and agents servers
GitHub stars
3
more than 75% of 2,711 AI and agents servers

Install GRAFOMEM CGR Read in Claude Code, Cursor or VS Code

claude mcp add --transport http cgr-read https://mcp.grafomem.com/mcp
Add to Cursor

What the publisher says

From the GRAFOMEM CGR Read repository's README, as published. We do not edit it. Read it on GitHub

GRAFOMEM

The governed memory runtime for agents. Signed checkpoints, provable erasure, portable memory — a drop-in wrapper for your LangGraph checkpointer.

pip install grafomem langgraph-checkpoint-grafomem langgraph
from typing import TypedDict
from cryptography.hazmat.primitives.asymmetric import ed25519
from langgraph.graph import StateGraph, START, END
from langgraph.checkpoint.memory import MemorySaver
from grafomem_checkpoint import GrafomemSerializer, GrafomemCheckpointSaver

# ── the entire GRAFOMEM integration: an Ed25519 signing key, then wrap ANY
#    LangGraph checkpointer. Pass it to compile() as you already do. ──
priv = ed25519.Ed25519PrivateKey.generate()
saver = GrafomemCheckpointSaver(MemorySaver(serde=GrafomemSerializer(private_key=priv)))

# ── your ordinary LangGraph agent ──
class State(TypedDict):
    messages: list

def agent(state: State) -> State:
    return {"messages": state["messages"] + ["hello from the agent"]}

b = StateGraph(State); b.add_node("agent", agent)
b.add_edge(START, "agent"); b.add_edge("agent", END)
app = b.compile(checkpointer=saver)

cfg = {"configurable": {"thread_id": "user-42"}}
app.invoke({"messages": []}, cfg)

# signed, content-addressed checkpoint
tup = saver.get_tuple(cfg)
print("signed checkpoint hash:", tup.metadata["grafomem_content_hash"])

# cryptographic erasure receipt — proof the erasure transition occurred
saver.delete_thread("user
signed checkpoint hash: ecd0e28938738cc55b3c888f7449503fd586723a699e1d326d74cc0f154874f7
erasure receipt: LangGraphErasureReceipt(pre_state_hash='d9a16ef8…', post_state_hash='0e5751c0…',
                 scope='user-42', key_id='grafomem_checkpoint', timestamp='2026-…', signature=b'…')

(hashes and signature vary per run — each run generates a fresh key)

What just happened: every state transition your agent made was captured as a signed, content-addressed checkpoint — and when you deleted, you got a cryptographic receipt proving the erasure transition occurred. Memory your agents can move, merge, and prove they erased.

Why

Agent memory today is a JSON blob you have to trust. GRAFOMEM makes it evidence: every write signed, every fact content-addressed, every deletion receipted. When someone asks "what did your agent know, and when?" — you answer with proofs, not logs.

Two tiers, one system

  • Working memory — fast, bounded context state for the agent loop.
  • Durable facts (GMP) — governed, bi-temporal, signed facts with provenance. The GRAFOMEM Memory Protocol is an open spec with an executable conformance suite: a backend's capability counts as supported when it passes the test, not when the vendor says so.

→ Architecture overview

Integrations

  • LangGraph — the quickstart above. → docs
  • Claude / MCP — expose governed memory as MCP tools. → docs
  • Reference server — a REST + MCP server (grafomem[server] extra); a hosted instance runs live at api.grafomem.com. → self-hosting docs

The bigger picture: verify the agent, not just the answer

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

  • 2026-10-31restoreB → Ascore 87

GRAFOMEM CGR Read: common questions

Is GRAFOMEM CGR Read MCP server safe?
Yes, by our scan: it is graded A (87/100). Read the GRAFOMEM CGR Read safety report
How do I install GRAFOMEM CGR Read?
It runs remotely at mcp.grafomem.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does GRAFOMEM CGR Read need an API key?
Yes. The endpoint refuses requests without credentials; the publisher's docs say how to get them.
Is GRAFOMEM CGR Read maintained?
The last commit was 18 days ago (2026-10-17). The latest release is v0.1.0.
Is GRAFOMEM CGR Read up?
96% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of GRAFOMEM CGR Read?
Servers from other publishers that do the same job: three.ws Provenance MCP server, OpenWorkProof MCP server and Emilia Protocol MCP server.
How does GRAFOMEM CGR Read compare with other AI and agents MCP servers?
safety score 87/100 (higher than 78% of 4,460 AI and agents servers); uptime 96% (of our recent checks; the typical remote AI and agents server answers 100%); response time 136 ms (faster than 79% of 2,331 AI and agents servers). Full comparison.

Alternatives to GRAFOMEM CGR Read

Same job from other publishers: the closest match first, then the best rated.

  • three.ws Provenance
    Append-only, signed, on-chain-verifiable agent action log — record and audit what agents did.
    B
  • OpenWorkProof
    Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.
    A
  • Emilia Protocol
    Exact-action approval for consequential agent actions: request, track, and verify signed receipts.
    B
  • Attestix
    AI agent identity, signed credentials, delegated authority and governance evidence.
    A
  • Ausca
    Pay-per-call APIs and MCP services for agents, no accounts or keys, with verifiable receipts.
    A