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MemoryRouter

REMOTE · MCP.MEMORYROUTER.AI · SCANNED SEP 28

Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.

0 this week 88 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security81
Transport & Reachability100
Schema Quality & AI Usability79
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2501 tokens (~208/item across 12 items; 10 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage97
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 90% of tool parameters carry a description.Partial
  • 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 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 12 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 MemoryRouter MCP server?

MemoryRouter is a hosted endpoint at https://mcp.memoryrouter.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp.memoryrouter.ai

# add to Claude Code
claude mcp add --transport http ai-memoryrouter-memoryrouter 'https://mcp.memoryrouter.ai/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-memoryrouter-memoryrouter": {
      "url": "https://mcp.memoryrouter.ai/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-memoryrouter-memoryrouter": {
      "type": "http",
      "url": "https://mcp.memoryrouter.ai/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.ai-memoryrouter-memoryrouter]
url = "https://mcp.memoryrouter.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-memoryrouter-memoryrouter": {
      "type": "remote",
      "url": "https://mcp.memoryrouter.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-memoryrouter-memoryrouter --url 'https://mcp.memoryrouter.ai/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-memoryrouter-memoryrouter:
    url: "https://mcp.memoryrouter.ai/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-memoryrouter-memoryrouter": {
      "Transport": "http",
      "Url": "https://mcp.memoryrouter.ai/mcp"
    }
  }
}
# add to Vellum
assistant mcp add ai-memoryrouter-memoryrouter -t streamable-http -u 'https://mcp.memoryrouter.ai/mcp'
// mcp.json
{
  "mcpServers": {
    "ai-memoryrouter-memoryrouter": {
      "type": "http",
      "url": "https://mcp.memoryrouter.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

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.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Sept 26 0
    • Stability: 0.97 → pass security
  • 6 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 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.

  • 1 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 19 Aug 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “inspect_memory” rewrote its description, which is the text the model reads security
    • Tool “search_memories” rewrote its description, which is the text the model reads security
    • Schema quality: 116 → 208 ▼ functional
    • New tool “date_search_memories” functional
    • “search_memories” reworded the description of “importance” cosmetic
    • “search_memories” reworded the description of “limit” cosmetic
    • “search_memories” reworded the description of “tiers” cosmetic
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 28 Sept 2026 · Probed https://mcp.memoryrouter.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=memoryrouter.ai CN=WE1,O=Google Trust Services,C=US 11 Aug 2026 9 Nov 2026 ECDSA 256 ECDSA-SHA256 a97445c1ea8722a9131578be51479f5e
SANs: memoryrouter.ai, mcp.memoryrouter.ai, *.mcp.memoryrouter.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.memoryrouter.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
memoryrouter.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On tool calls
HTTP status 200

WWW-Authenticate challenge Bearer error="invalid_token", error_description="Authentication required. Connect your MemoryRouter account.", resource_metadata="https://mcp.memoryrouter.ai/.well-known/oauth-protected-resource/mcp", scope="memories:read"

Bearer error="invalid_token", error_description="Authentication required. Connect your MemoryRouter account.", resource_metadata="https://mcp.memoryrouter.ai/.well-known/oauth-protected-resource/mcp", scope="memories:read"

Protected resource metadata

Document https://mcp.memoryrouter.ai/.well-known/oauth-protected-resource/mcp
Retrieved Yes
Resource https://mcp.memoryrouter.ai/mcp
Authorisation server https://auth.memoryrouter.ai

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.memoryrouter.ai/mcp Verified 200
http (plaintext) http://mcp.memoryrouter.ai/mcp Inconclusive 405
MCP tools · 10 exposed · ~2,078 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
commit_reflections ~98

Use this to complete a consolidation started with consolidate_memories. Submits the reflection entries you wrote for the checked-out batch. Each entry is standalone prose with an importance rating from 1 to 10. The server stores the reflections, links them to their source memories, and marks the sources consolidated. Safe to retry: committing the same batch twice returns the original result.

NameTypeReqDescription
batch_idstringyes–
entriesarrayyes–
NameTypeReqDescription
already_committedbooleanyes–
committedbooleanyes–
debtobject|null––
entries_createdintegeryes–
sources_consolidatedintegeryes–
tierintegeryes–

No examples provided.

consolidate_memories ~147

Use this when the user asks to consolidate, reflect on, or organize their memories, or when memory_status or a search result reports that consolidation is available. Checks out a batch of unconsolidated memories from the connected vault under a 15 minute lease and returns their texts plus server instructions for writing reflection entries. Follow the returned instructions to write the entries, then call commit_reflections with the batch_id. Nothing is modified until commit.

NameTypeReqDescription
max_tokensinteger–Token budget for the checked-out batch. Defaults to 50000. No connector-side cap.
tierinteger–1 consolidates raw memories into reflections; 2 consolidates reflections into high-level reflections.
NameTypeReqDescription
batch_idstring|nullyes–
countintegeryes–
coversobject|null––
est_tokensinteger––
lease_expires_atstring|null––
memoriesarray––
messagestring––
reflection_contractobject––
tierintegeryes–

No examples provided.

date_search_memories ~702

Use this to retrieve memories from a specific time window, for questions like 'what happened last week' or 'most important things this month or lately'. Tier guide: tier 3 holds the highest-level consolidated reflections (identity, principles, what matters most), tier 2 holds reflections of specific meaningful events, tier 1 holds raw verbatim memories. Match filters to the question. Time-bounded 'most important things last month' questions: tiers [3], importance 8 or higher, generous max_tokens. Big-picture overviews of a period like 'what do you know about July': tiers [3] with no importance filter. Specific lookups in a window like 'find the decision about X': omit tiers to include all tiers and leave importance unset; a high importance filter hides the specific detail you are looking for. Specific meaningful events without raw noise: tiers [2] or [2, 3]. Exact verbatim detail: if the detail is not already in context, drill down by lineage: search tiers [3] to find the relevant thread, then use inspect_memory on the result to see the tier 2 reflections it consolidated, then inspect those to reach the raw memories underneath. Direct tiers [1] search works when you know exact wording to match. Mixing tiers is legitimate; adjust the importance threshold to the question rather than always setting it high. Only reflections (tiers 2 and 3) carry importance ratings. Omit query for a chronological review; include query to rank by relevance within the window. Resolve relative phrases like 'lately' to concrete ISO dates before calling. Reads only the OAuth-selected vault and does not modify it.

NameTypeReqDescription
fromstringyesWindow start, ISO 8601 date or datetime (e.g. 2026-08-10 or 2026-08-10T00:00:00Z). Required. Must be a concrete date, not a relative phrase.
importanceinteger–Minimum importance threshold, 1 to 10. Only reflections (tiers 2 and 3) carry ratings, so raw memories are excluded whenever this is set. Use 8 or higher with tiers [3] for broad 'most important' que…
max_tokensinteger–Token budget for returned results. Server default 50000; use a smaller value like 5000 for a quick look. When a page is truncated, continue with the returned next_to or next_from cursor.
querystring–Optional relevance query. Omit for a pure chronological browse; include to rank results within the window.
tiersarray–Restrict results to these memory tiers. 3 highest-level consolidated reflections (identity, principles, what matters most), 2 reflections of specific meaningful events, 1 raw verbatim memories. Use […
tostring–Window end, ISO 8601 date or datetime. Optional, defaults to now.
NameTypeReqDescription
countintegeryes–
fromstringyes–
memoriesarrayyes–
next_fromstring––
next_tostring––
tostring––
truncatedboolean––
windowobject|null––

No examples provided.

delete_memories ~120

Use this only when the user explicitly asks to delete specific memories and confirms after seeing what will be deleted. Permanently deletes the identified memories from the connected vault by their ids from search or inspect results. Deleting a raw memory does not delete reflections built from it. This cannot be undone. For deleting everything, forget_all_memories is the separate whole-vault tool.

NameTypeReqDescription
confirmationstringyesExact phrase the user must provide after being shown which memories will be deleted.
idsarrayyesMemory ids (UUIDs) to permanently delete.
NameTypeReqDescription
deletedintegeryes–
failedarrayyes–
messagestring––
not_foundintegeryes–
vaultRefstringyes–

No examples provided.

forget_all_memories ~99

Use this only after the user explicitly requests a full-vault deletion, receives a permanent whole-vault warning, and provides the exact confirmation phrase in a later turn. Permanently deletes every memory in the OAuth-selected vault. This cannot delete one memory; use delete_memories for specific items. Requires separate memories:delete authorization and destructive host confirmation.

NameTypeReqDescription
confirmationstringyesExact phrase the user must provide after being warned that deletion is permanent.
NameTypeReqDescription
deletedbooleanyes–
messagestringyes–
vaultRefstringyes–

No examples provided.

inspect_memory ~112

Use this when the user asks why the assistant believes something, or wants to see the source memories behind a reflection. Given a memory id from a search result, returns the lower-tier memories that reflection was built from, or, for a raw memory, which reflections it was consolidated into. Use repeatedly to drill down from a high-level reflection to the tier 2 reflections and raw memories beneath it. Read only.

NameTypeReqDescription
memory_idstringyesA memory id (UUID) from a search result or a previous inspect.
NameTypeReqDescription
consolidated_intoarray––
coversobject|nullyes–
memory_idstringyes–
sourcesarrayyes–
sources_deletedintegeryes–
sources_totalintegeryes–
tierintegeryes–
truncatedbooleanyes–

No examples provided.

memory_status ~45

Use this when the user asks whether MemoryRouter is connected, which opaque vault binding is active, or how many memories/tokens the connected vault contains. Does not reveal the memory key.

Input schema present but exposes no named parameters.

NameTypeReqDescription
connectedbooleanyes–
grantedScopesarrayyes–
reflectionobject–Reflection debt for the connected vault. Fields are null when the debt probe is unavailable.
storagestringyes–
totalMemoriesintegeryes–
totalTokensintegeryes–
vaultRefstringyes–

No examples provided.

search ~73

Use this legacy compatibility alias when a client explicitly requests a tool named search. It searches the OAuth-selected MemoryRouter vault without modifying it. For normal ChatGPT recall, prefer search_memories; this tool does not provide citable item permalinks or Company Knowledge fetch support.

NameTypeReqDescription
querystringyesNatural-language search query.
NameTypeReqDescription
resultsarrayyes–

No examples provided.

search_memories ~592

Use this when the user asks about a prior decision, preference, person, project, or other fact that may be in their connected MemoryRouter vault. Semantically searches only the OAuth-selected vault and does not modify it. Tier guide: tier 3 holds the highest-level consolidated reflections (identity, principles, what matters most), tier 2 holds reflections of specific meaningful events, tier 1 holds raw verbatim memories. Match filters to the question. Broad 'most important things we have done' questions: tiers [3], importance 8 or higher, large limit such as 250. Big-picture overviews like 'what do you know about this area or period': tiers [3] with no importance filter. Specific lookups like 'find the decision about X': omit tiers to search all tiers blended and leave importance unset; a high importance filter hides the specific detail you are looking for. Specific meaningful events without raw noise: tiers [2] or [2, 3]. Exact verbatim detail: if the detail is not already in context, drill down by lineage: search tiers [3] to find the relevant thread, then use inspect_memory on the result to see the tier 2 reflections it consolidated, then inspect those to reach the raw memories underneath. Direct tiers [1] search works when you know exact wording to match. Mixing tiers is legitimate; adjust the importance threshold to the question rather than always setting it high. Only reflections (tiers 2 and 3) carry importance ratings. For time-window questions like 'what happened last week' or 'lately' use date_search_memories instead.

NameTypeReqDescription
importanceinteger–Minimum importance threshold, 1 to 10. Only reflections (tiers 2 and 3) carry ratings, so raw memories are excluded whenever this is set. Use 8 or higher with tiers [3] for broad 'most important' que…
limitinteger–Maximum number of relevant memories to return. Use a large limit such as 250 for broad 'most important things' questions over tiers [3].
querystringyesA concise natural-language description of the past context to recall.
tiersarray–Restrict results to these memory tiers. 3 highest-level consolidated reflections (identity, principles, what matters most), 2 reflections of specific meaningful events, 1 raw verbatim memories. Use […
NameTypeReqDescription
consolidation_availableboolean––
countintegeryes–
memoriesarrayyes–
querystringyes–

No examples provided.

store_memory ~90

Use this only when the user explicitly asks to remember something or confirms a proposed durable fact. Saves concise user-approved content to the OAuth-selected vault; do not use it for silent conversation capture.

NameTypeReqDescription
contentstringyesThe concise fact, preference, decision, or outcome the user approved for storage.
tagsarray–Optional short category labels. These are preserved as provenance text until structured tags ship.
NameTypeReqDescription
acceptedbooleanyes–
sourcestringyes–
statusstringyes–
vaultRefstringyes–

No examples provided.

Common questions

What is the MemoryRouter MCP server?

MemoryRouter is an MCP server listed in the public MCP registry as ai.memoryrouter/memoryrouter. Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients. This page covers its hosted endpoint (https://mcp.memoryrouter.ai/mcp).

Is the MemoryRouter MCP server safe to use?

MemoryRouter scores 88 out of 100 on VerifyMCP. 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 MemoryRouter MCP server expose?

MemoryRouter exposes 10 tools: search_memories, date_search_memories, store_memory, memory_status, forget_all_memories, and 5 more. Their descriptions and schemas cost roughly 2,078 tokens of context every time the server is loaded.

Does the MemoryRouter MCP server require authentication?

Yes. MemoryRouter asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

Is the MemoryRouter MCP server still maintained?

MemoryRouter is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.