Skip to main content
Glama

Server Details

Exact text tools for AI agents: unified diff, patch apply, regex testing, grapheme counting.

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.

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.

100% free. Your data is private.
Tool DescriptionsA

Average 4.1/5 across 5 of 5 tools scored.

Server CoherenceA
Disambiguation5/5

Each tool has a unique and clearly distinct purpose: patching, JSON canonicalization, diffing, regex testing, and text statistics. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: apply_patch, canonical_json, diff, regex_test, text_stats. 'diff' is a bit of an outlier but still fits the pattern as a verb.

Tool Count5/5

With 5 tools, the server is well-scoped for its domain of text operations. It covers common needs without being overly minimal or bloated.

Completeness4/5

The set covers patching, diffing, regex, JSON validation, and text stats—addressing frequent LLM text issues. Minor gaps like string search/replace exist, but the tools are purpose-built for reliability.

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    Provides a set of micro-tools (time calculation, regex, encoding, JSON diff, etc.) for LLM agents to handle deterministic, precision tasks that models often get wrong.
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Provides deterministic, verifiable text/code/measurement utilities for AI agents, enabling tasks like unit conversion, citation formatting, diffing, proofreading, readability scoring, and syntax checking with re-executable proof.
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Provides a suite of regex and text processing tools for AI agents, including pattern testing, extraction, and replacement with capture group support. It also enables various text transformations like case conversion, line sorting, and deduplication through the Model Context Protocol.
    38
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Provides 14+ character-level text analysis tools that give LLMs the ability to accurately count letters, analyze individual characters, and work with text at the character level—overcoming tokenization limitations.
    14
    16
    3
    MIT

View all MCP Servers

Try in Browser

Your Connectors

Sign in to create a connector for this server.

Resources