Memwyre (memwyreai/Memwyre) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 13 tools. No publisher has claimed this listing.

C
Caution
74/100

Memwyre

Memwyre is an open-source, universal memory infrastructure and persistent knowledge retrieval layer for Large Language Models (LLMs), AI agents, and custom applications.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

memwyreai

Source: github_repo_search

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: NOTION_CLIENT_SECRET. We can’t prove the destination matches the brand the credential belongs to.
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — get_all_tags (line 851: tags_list = mem.tags if isinstance(mem.tags, list) else eval(mem.tags))
🔐
You'll be asked for 2 credentials: BRAIN_VAULT_API_KEY, NOTION_CLIENT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes13 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

save_memory

Save a new memory snippet to the Memwyre Vault. Use this tool when the user explicitly asks you to 'remember' something, 'save' a note, or when you encounter important information that should be persisted for future reference. Args: text: The content of the memory. source: Source of memory (default

search_memwyre

The PRIMARY tool for searching the user's "Memwyre". Use this to retrieve relevant context, notes, code snippets, or past conversations from the Memwyre Vault. ALWAYS use this before answering questions that might require personal context. Args: query: The semantic search query (e.g., "python fastap

get_inbox

Get list of pending memories in the Memwyre Inbox. Args: workspace_name: Optional name of the workspace directory to filter inbox items.

approve_memory

Approve a pending memory in the Inbox and begin its ingestion process. Args: memory_id: The ID of the memory (e.g., 'mem_123').

discard_memory

Discard a pending memory in the Inbox, removing it from view and deleting its embeddings. Args: memory_id: The ID of the memory (e.g., 'mem_123').

get_document

Retrieve the full content of a specific document by ID from Memwyre. Args: doc_id: The ID of the document.

generate_prompt

Generate a prompt with retrieved context from Memwyre. Args: query: The user's question or request. template: The template to use ("standard", "code", "summary"). workspace_name: Optional name of the workspace directory. Pass this so that prompt context is scoped strictly to this project workspace.

update_memory

Update the content of an existing memory in Memwyre. Args: memory_id: The ID of the memory (must start with 'mem_'). content: The new content.

delete_memory

Delete a memory or document by ID from Memwyre. Args: memory_id: The ID of the item (e.g., 'mem_1' or 'doc_5').

list_memories

List recent memories and documents in Memwyre. Args: limit: Number of items to return (default 10). offset: Pagination offset (default 0). workspace_name: Optional name of the workspace directory. Pass this so that items are filtered by this project workspace.

search_by_date

Find memories in Memwyre created within a specific date range. Args: start_date: Start date in YYYY-MM-DD format. end_date: End date in YYYY-MM-DD format (optional, defaults to end of start_date). workspace_name: Optional name of the workspace directory. Pass this so that items are filtered by this

get_all_tags

Get a list of all tags currently used in Memwyre. Use this to understand the taxonomy of the user's knowledge. Args: workspace_name: Optional name of the workspace directory. Pass this so that tags are filtered by this project workspace.

save_fact_tool

Save a precise fact or note to the Brain Vault for long-term memory.

// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configMEMWYRE_FRONTEND_URL
🔐 secretBRAIN_VAULT_API_KEY
configMEMWYRE_USER_EMAIL
configBRAIN_VAULT_USER_EMAIL
configMEMWYRE_USER_ID
configBRAIN_VAULT_USER_ID
configNOTION_CLIENT_ID
🔐 secretNOTION_CLIENT_SECRET
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

13/13 tools missing one or more hints — save_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_memwyre (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_inbox (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +10 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Descriptions match behaviour

1 tool describes read intent but its handler mutates — get_all_tags (line 851: tags_list = mem.tags if isinstance(mem.tags, list) else eval(mem.tags))

Rename the tool, rewrite the description, or move the side-effect into a separate clearly-named tool.

Tool description accuracy

get_all_tags: description implies read-only but handler writes/deletes/executes

Update tool descriptions to accurately reflect all capabilities — especially write, delete, or execute operations.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/memwyreai/memwyre?variant=verified)](https://m8ven.ai/mcp/memwyreai/memwyre)
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commit: e7f083d8516909ce66c8491d317f901f747209a1
code hash: 2ddaeed544d9d472f04e8b5d53b6f608171fe03db59aaa2d3b4410ec2e324a85
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