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RAWThink

PYPI · RAWTHINK-MCP · SCANNED SEP 20

Persistent memory for AI thinking partnerships: hybrid search and a temporal knowledge graph.

Available components

−15 this week 65 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 1 of 34 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability79
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 1752 tokens (~103/item across 17 items; 17 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
  • Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • All 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the RAWThink MCP server?

RAWThink runs locally as a PyPI package, launched with uvx rawthink-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · rawthink-mcp

# add to Claude Code
claude mcp add ygtalp-rawthink-mcp -- uvx rawthink-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "ygtalp-rawthink-mcp": {
      "command": "uvx",
      "args": [
        "rawthink-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ygtalp-rawthink-mcp": {
      "command": "uvx",
      "args": [
        "rawthink-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ygtalp-rawthink-mcp -- uvx rawthink-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ygtalp-rawthink-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "rawthink-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ygtalp-rawthink-mcp --command uvx --arg rawthink-mcp
# ~/.hermes/config.yaml
mcp_servers:
  ygtalp-rawthink-mcp:
    command: "uvx"
    args: ["rawthink-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ygtalp-rawthink-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "rawthink-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ygtalp-rawthink-mcp -t stdio -c uvx -a rawthink-mcp
// mcp.json
{
  "mcpServers": {
    "ygtalp-rawthink-mcp": {
      "command": "uvx",
      "args": [
        "rawthink-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 19 Sept 26 +1
    • Stability: 0.97 → pass security
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
  • 16 Sept 26 +15
    • Malware scan: unverified → pass security
  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 12 Sept 26 +1
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/rawthink-mcp@2.0.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 34 packages
Packages resolved 34
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 17 exposed · ~1,616 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_observations ~43

Add new observations to existing entities in the knowledge graph.

NameTypeReqDescription
observationsarrayyesList of dicts with keys: entityName, contents (list of strings).
NameTypeReqDescription
resultstringyes

No examples provided.

create_entities ~142

Create multiple new entities in the knowledge graph. If an entity with the same name exists, new observations are merged. Each entity can have: - name (required): Entity name - entityType: Type (default "concept") - observations: List of observation strings - epistemic: "assertion" | "hypothesis" | "speculation" (optional) Observations are stored with temporal metadata (created date, status). Entities get activation tracking (activation=1.0, last_accessed=today).

NameTypeReqDescription
entitiesarrayyesList of dicts with keys: name, entityType, observations (list of strings), epistemic (optional).
NameTypeReqDescription
resultstringyes

No examples provided.

create_relations ~86

Create multiple new relations between entities. Relations should be in active voice. Canonical relation types: supports, contradicts, evolved_into, depends_on, exemplifies, part_of, caused_by, enables, supersedes, related_to. Non-standard types are accepted but return a warning.

NameTypeReqDescription
relationsarrayyesList of dicts with keys: from, to, relationType.
NameTypeReqDescription
resultstringyes

No examples provided.

delete_entities ~34

Delete multiple entities and their associated relations from the knowledge graph.

NameTypeReqDescription
entityNamesarrayyesList of entity names to delete.
NameTypeReqDescription
resultstringyes

No examples provided.

delete_observations ~45

Delete specific observations from entities in the knowledge graph.

NameTypeReqDescription
deletionsarrayyesList of dicts with keys: entityName, observations (list of strings to remove).
NameTypeReqDescription
resultstringyes

No examples provided.

delete_relations ~37

Delete multiple relations from the knowledge graph.

NameTypeReqDescription
relationsarrayyesList of dicts with keys: from, to, relationType.
NameTypeReqDescription
resultstringyes

No examples provided.

get_session ~44

Get full content of a session by reading the markdown file directly.

NameTypeReqDescription
session_idstringyesSession identifier (e.g. "2026-03-16_001").
NameTypeReqDescription
resultstringyes

No examples provided.

invalidate_observations ~87

Mark observations as invalidated (belief revision tracking). Sets status='invalidated' and records invalidated_at date. Optionally records what superseded the old belief.

NameTypeReqDescription
entity_namestringyesName of the entity whose observations to invalidate.
observationsarrayyesList of observation text strings to invalidate.
superseded_byOptional description of what replaced these beliefs.
NameTypeReqDescription
resultstringyes

No examples provided.

open_nodes ~43

Open specific nodes in the knowledge graph by their names. Returns the requested entities and all relations connected to them.

NameTypeReqDescription
namesarrayyesList of entity names to retrieve.
NameTypeReqDescription
resultstringyes

No examples provided.

read_graph ~129

Read the entire knowledge graph — all entities and relations. By default returns full entities with pagination (offset/limit). Use summary=True for a compact overview (names + types + observation counts).

NameTypeReqDescription
entity_typeFilter entities by type (e.g. "concept", "decision", "insight").
limitintegerMax entities to return (for pagination). Default 20.
offsetintegerSkip first N entities (for pagination). Default 0.
summarybooleanIf True, return compact overview. If False (default), return full entities with pagination.
NameTypeReqDescription
resultstringyes

No examples provided.

record ~204

Write entities, relations and observations in one validated, atomic call. This is the single write path. Everything is validated before anything is written, so a batch that is half-valid writes nothing. Entity fields: name, entityType (required for new), domain (required for new), epistemic (assertion|hypothesis|speculation|unknown, default unknown), visibility (private|shareable, default private), observations. An observation may be a string, or {"text": ..., "kind": ...} where kind is note|decided|rejected|because|touches. Relations use the canonical vocabulary; close synonyms are folded, unknown types are rejected. A relation may only point at an entity that exists or is being created in this same call.

NameTypeReqDescription
entitiesEntities to create or merge into.
observations[{"entityName": ..., "contents": [...], "kind": ...}]
relationsRelations to create.
NameTypeReqDescription
resultstringyes

No examples provided.

record_decision ~201

Record a decision: what was chosen, what was rejected, and why. `rejected` is the field that makes this worth recording. What was chosen stays readable in the code forever; what was considered and dropped exists nowhere else, and it is the question that gets asked months later.

NameTypeReqDescription
becausestringyesThe constraint or reasoning that forced it.
decidedstringyesWhat was chosen.
domainstringyesSubject area (software, music, history, ...).
epistemicstringassertion | hypothesis | speculation | unknown.
namestringyesStable identifier, e.g. "banking/phase-7: reference ID strategy".
rejectedAlternatives considered and dropped, each with its reason.
supersedesName of a decision this one replaces.
touchesFiles or symbols this decision governs.
visibilityprivate (default) | shareable.
NameTypeReqDescription
resultstringyes

No examples provided.

reindex ~43

Re-index vault content into the search database.

NameTypeReqDescription
fullbooleanForce full vault re-index.
session_idIf provided, reindex only this session.
NameTypeReqDescription
resultstringyes

No examples provided.

revise ~136

Mark observations as no longer held, and link what replaced them. Deliberately not a delete. Keeping the superseded belief, dated and linked, is what lets the archive answer "why did we change our mind" later. If you pass `superseding_entity`, record that entity first — a relation cannot point at a name the graph does not know.

NameTypeReqDescription
entity_namestringyesEntity whose observations are being revised.
observationsarrayyesExact observation texts to invalidate.
superseded_byShort description of what replaced them.
superseding_entityName of the entity that supersedes this one.
NameTypeReqDescription
resultstringyes

No examples provided.

search_nodes ~122

Search the knowledge graph. Bounded: returns `total_matched` alongside a capped page, so a truncated result is visible rather than silent.

NameTypeReqDescription
domainNarrow to one subject area (software, music, history, ...).
entity_typeNarrow to one role (decision, concept, finding, rule, ...).
limitintegerMax entities returned (default 10).
max_relationsintegerMax relations returned (default 50).
querystringyesMatched against entity names, types and observations.
NameTypeReqDescription
resultstringyes

No examples provided.

search_thoughts ~127

Search vault content with hybrid semantic + keyword search.

NameTypeReqDescription
limitintegerMax results (default 10).
modestring"full" returns matching passages; "overview" returns one line per session (id, title, score) for orientation before drilling in.
querystringyesNatural language query (e.g. "what did I think about consciousness?").
source_typeFilter by "session" or "qnote".
tagsFilter by tags (e.g. ["philosophy", "consciousness"]).
NameTypeReqDescription
resultstringyes

No examples provided.

store_thought ~93

Store a new thought — embed and save to vault as a qnote.

NameTypeReqDescription
session_idSession reference linking this qnote to its source conversation. Recommended — pass the current or most recent session ID (e.g. from handoff) so qnotes can be traced back to their session context.
tagsOptional tags for the note.
textstringyesThe thought text to store.
NameTypeReqDescription
resultstringyes

No examples provided.

Common questions

What is the RAWThink MCP server?

RAWThink is an MCP server listed in the public MCP registry as io.github.ygtalp/rawthink-mcp. Persistent memory for AI thinking partnerships: hybrid search and a temporal knowledge graph. This page covers its PyPI package (rawthink-mcp).

Is the RAWThink MCP server safe to use?

RAWThink scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the RAWThink MCP server expose?

RAWThink exposes 17 tools: search_thoughts, get_session, store_thought, reindex, search_nodes, and 12 more. Their descriptions and schemas cost roughly 1,616 tokens of context every time the server is loaded.

Is the RAWThink MCP server still maintained?

RAWThink is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.