Pensyve
Server Details
Universal memory runtime for AI agents: episodic, semantic, and procedural memory with hybrid retrieval and spaced-repetition decay.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.6/5 across 9 of 9 tools scored.
Tools have clearly distinct purposes with good separation between episodic memory (observe/episode_start/end) and semantic memory (remember/recall). The distinction between recall (semantic search) and inspect (entity-specific browsing) is clear from descriptions, though both retrieve memories. Account (billing) vs status (technical) are well differentiated.
Uses consistent 'pensyve_' prefix but mixes suffix patterns: simple nouns (account, status), simple verbs (forget, inspect, observe, recall, remember), and compound noun_verb (episode_start, episode_end). While readable, the lack of a unified convention (all verbs or all nouns) creates minor inconsistency.
Nine tools is well-scoped for a memory management domain, covering account management (2), episode lifecycle (3), and memory CRUD operations (4). Each tool earns its place without redundancy or bloat.
Covers the core memory lifecycle well: episodic tracking, semantic storage, retrieval via search and entity lookup, and deletion. Minor gaps include no explicit update operation for memories and no episode listing capability, but agents can work around these by re-remembering or managing episode IDs externally.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
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Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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