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Glama

AiPayGen — 65+ AI Tools as an MCP Server

Server Details

65+ AI tools as MCP: research, write, code, scrape, translate, RAG, agent memory, workflows

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
Damien829/aipaygen
GitHub Stars
2
Server Listing
aipaygen-mcp

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

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.

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Tool DescriptionsB

Average 3.3/5 across 250 of 250 tools scored. Lowest: 2.5/5.

Server CoherenceB
Disambiguation2/5

Many tools have overlapping or ambiguous purposes, causing confusion. For example, 'extract_text' and 'extract_text_from_url' are nearly identical, while 'batch', 'chain_operations', and 'pipeline' all handle multi-step operations with unclear distinctions. Tools like 'analyze', 'research', and 'think' also cover similar analytical functions without clear boundaries.

Naming Consistency4/5

Most tools follow a consistent verb_noun or verb_adjective_noun pattern (e.g., 'analyze', 'extract_links', 'generate_uuid'), which aids readability. However, there are minor deviations like 'ask' (single verb), 'chat' (single noun), and 'rag' (acronym), slightly reducing consistency but not severely impacting usability.

Tool Count1/5

With 250 tools, the set is excessively large for any coherent server purpose, leading to overwhelming complexity and redundancy. This extreme count dilutes focus, making it difficult for agents to navigate or understand the server's scope, as it attempts to cover everything from AI research to utilities and financial operations without clear boundaries.

Completeness5/5

The tool surface is remarkably complete, covering a vast range of domains including AI processing, web scraping, data transformation, financial operations, agent management, and utilities. It provides extensive CRUD/lifecycle coverage for each area, such as agent creation/deletion, wallet management, and API interactions, with no apparent gaps that would hinder agent workflows.

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