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paiml/paiml-mcp-agent-toolkit

Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

Rust ◇ agentic MIT
★164STARS
⑂30FORKS
!138ISSUES
🏆#17,367GLOBAL RANK
🔥35DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

paiml-mcp-agent-toolkit is paiml-mcp-agent-toolkit is an open-source project written in Rust: Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), paiml/paiml-mcp-agent-toolkit has accumulated 164 GitHub stars and 30 forks. It is written in Rust, licensed under MIT, and ranks #17,367 globally. It is actively maintained with the latest commit recorded on Oct 1, 2026.”
Repository paiml/paiml-mcp-agent-toolkit ↗
Primary Category agentic
Language & Stack Rust
Software License MIT
Community Traction ★ 164 stars · ⑂ 30 forks · #17,367 globally
Maintenance ● Active (Last commit: Oct 1, 2026) · 138 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is paiml-mcp-agent-toolkit actively maintained in 2026?
Verdict: Actively Maintained

Yes, paiml-mcp-agent-toolkit is actively maintained. Continuous telemetry recorded the last code commit on Oct 1, 2026 (29 days ago). Supported by 164 stars and 30 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (29 days ago) and healthy issue cadence.

Commit Recency
Oct 1, 2026
29 days since last push
Issue Backlog
138 Open Issues
Healthy Issue Cadence
Community Backing
30 Forks
164 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for paiml/paiml-mcp-agent-toolkit
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#1,655

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

paiml-mcp-agent-toolkit gained 0 stars in the last 30 days, about 1 a day, and now has 164. It is about 1 year old and has averaged roughly 164 stars a year. It ranks #1,655 among Rust repositories and #17,367 across all languages on GitHubRepo.

Trending Record

paiml-mcp-agent-toolkit has maintained a continuous presence across global trending indexes, peaking at #2131. Below is the 30-day activity profile:

💡 Overview

paiml-mcp-agent-toolkit is an open-source project written in Rust: Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic, c, deno. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install paiml-mcp-agent-toolkit

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

paiml-mcp-agent-toolkit coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with paiml-mcp-agent-toolkit.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install paiml-mcp-agent-toolkit using your package manager: `cargo install paiml-mcp-agent-toolkit`

2

Initialize your project workspace or configuration file for paiml-mcp-agent-toolkit.

3

Import paiml-mcp-agent-toolkit into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `paiml-mcp-agent-toolkit --help` to verify successful setup.

👍 Strengths

Active community backing with 164 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

paiml/paiml-mcp-agent-toolkit is currently ranked #17,367 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#17,367 paiml/paiml-mcp-agent-toolkit This Project Rust ★ 164
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Frequently Asked Questions

What does paiml-mcp-agent-toolkit do? +

Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

Is paiml-mcp-agent-toolkit actively maintained in 2026? +

Yes, paiml-mcp-agent-toolkit is actively maintained. The latest code push was recorded on Oct 1, 2026 (29 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 164 stars and 138 open issues.

What language is paiml-mcp-agent-toolkit written in? +

The primary language is Rust. Topics include: agentic, c, deno, kotlin, mcp.

How many stars does paiml-mcp-agent-toolkit have? +

paiml-mcp-agent-toolkit has 164 stars and 30 forks on GitHub.

How does paiml-mcp-agent-toolkit rank among GitHub repositories? +

With 164 stars, paiml/paiml-mcp-agent-toolkit is ranked #17,367 globally across all repositories tracked on GitHubRepo and #1,655 among Rust projects.

What license is paiml-mcp-agent-toolkit distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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