Software Alternatives & Startups

HasMCP VS cppq

Compare HasMCP VS cppq and see what are their differences

HasMCP

Convert your API into MCP Server in seconds. No-code, GUI based MCP Framework that creates, deploys and serves MCP servers with built-in auth, realtime logs and telemetry. Make your product available in LLMs today!

Rating
0 reviews
Pricing
Open source Freemium
cppq

Simple, reliable & efficient distributed task queue for C++

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0 reviews
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Base details

Website, pricing, platforms and company facts side by side.

HasMCP
cppq
Website hasmcp.com github.com
Pricing
Open source Freemium Official pricing
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Platforms
Docker Cloud
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Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in —

About HasMCP and cppq

In their own words, as submitted to SaaSHub.

HasMCP
cppq

API to MCP Server Automated OpenAPI Mapping: Streamlines integration by converting OpenAPI (v3.0/3.1) and Swagger documentation directly into LLM-ready Model Context Protocol (MCP) tools. This eliminates the need for manual "glue code," ensuring accurate, no-code setup in seconds. MCP Auth Native...

Read more about HasMCP

No description of cppq yet.

Features and specs

What each product offers, as listed by its team.

HasMCP 7 features
cppq 5 features
  • OpenAPI Spec to MCP Server
    Converts OpenAPI Spec and Swagger spec to MCP Server in seconds
  • MCP Auth
    Authenticate MCP Server with server's OAuth2 or API Key
  • MCP Secret Manager
    Allow storing secret for the MCP server in vault
  • MCP Observability
    Tail realtime logs between MCP server and LLMs
  • MCP Telemetry
    Realtime telemetry logs that shares token usage, optimizations, payload sizes and all calls
  • MCP Analytics
    Access longer term analytics, see usage over time
  • Proxy Headers
    Pass headers directly from LLM to API
  • Lightweight C++ implementation
    cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
  • Redis-backed reliability
    Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
  • Inspired by proven design (asynq)
    The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
  • Native integration for C++ projects
    For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
  • Open source and inspectable
    Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

  • Limited maturity and battle-testing
    Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
  • Smaller community and ecosystem
    Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
  • Documentation gaps
    As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
  • C++ build and dependency complexity
    Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
  • Fewer built-in features and tooling
    cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

Analysis

An editorial look at what each product does well and who it suits.

HasMCP
cppq

Overall verdict

  • HasMCP appears to be a useful resource for developers and teams working with the Model Context Protocol (MCP), offering a centralized directory and tools to discover, evaluate, and integrate MCP servers into AI applications. However, as with any emerging platform, its value depends on the breadth of its listings, accuracy of information, and ongoing maintenance.

Why this product is good

  • Provides a centralized directory for discovering MCP servers, saving time compared to manual searching
  • Helps developers evaluate and compare different MCP integrations for their AI workflows
  • Focuses on the growing Model Context Protocol ecosystem, which is relevant for modern AI tooling
  • Can lower the barrier to entry for teams looking to connect AI models with external data and tools

Recommended for

  • Developers building AI applications that need MCP server integrations
  • Teams exploring the Model Context Protocol ecosystem
  • AI engineers looking to connect LLMs with external data sources and tools
  • Businesses evaluating MCP-based solutions for automation and context-aware AI

Overall verdict

  • cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.

Why this product is good

  • Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
  • Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
  • Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
  • Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
  • Good fit for projects already using Redis, minimizing the need for additional infrastructure
  • Straightforward API for enqueueing and processing background jobs in C++ applications

Recommended for

  • C++ developers needing a background job/task queue without adopting a heavyweight message broker
  • Projects already using Redis as part of their infrastructure
  • Small to medium-sized applications requiring asynchronous task processing
  • Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
  • Developers familiar with asynq (Go) looking for a similar pattern in C++
  • Prototyping or hobby projects where a minimal task queue solution is sufficient

Videos

Walkthroughs and reviews on video.

HasMCP 3 videos + Add
cppq 0 videos + Add

Public API to MCP Server (step-by-step guide)

More videos

  • - Create Token Optimized Brave Search MCP Server
  • - API to MCP Server in Seconds

No cppq videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
HasMCP
cppq
100% 100%
0% 0%
100% 100%
AI
0% 0%
100% 100%
0% 0%
100% 100%
0% 0%

Questions & Answers

As answered by people managing HasMCP and cppq.

Why should a person choose your product over its competitors?

HasMCP's answer

Built-in auth, realtime logs, telemetry, token optimization with interceptors and secret management make HasMCP win over all competitors.

Which are the primary technologies used for building your product?

HasMCP's answer

Go, Vue.js, Taildwincss, Redis, Postgres, Sqlite

How would you describe the primary audience of your product?

HasMCP's answer

Developers SaaS owners

What's the story behind your product?

HasMCP's answer

I was working on MCP Servers and I found it is hassle to create one using the tools/frameworks. But not only the creation process, the servers had be downloaded via npx or python at that time. As an alternative, I had to wrap an existing endpoint by writing tons of code. Another thing is the change on the official MCP specs was lightning fast and are not simple just to update your server, you have to write code again to catch it up with the latest spec.

After understanding the underlying protocol communication, I decided to remove this bottleneck from developers life and democratize to access MCP Server with just sharable URL instead of arbitrary local code execution.

Another big challenge was token optimization; I shouldn't have been just returning the what endpoint returns, that was including a lot of unnecessary sometimes confidential information, so an interceptor idea was born. HasMCP supports Jmespath and JS interceptors that you can modify the payload before returning to the client. Either you need to remove a PII column or just prune the data that you need, HasMCP is here to help.

Authentication is one of the other pain points in MCP world; HasMCP supports OAuth2 authentication with elicitation when the OAuth2 client credentials are defined in the provider. So, no more thinking about how I am going to authenticate the user. It is ready to use with just standard OAuth2 client input values. The access/refresh tokens are stored in encrypted format in the session storage. If your API does not support OAuth2, I got you covered too: Your users can define secrets (encrypted environment values) to send specific header values on tool calls.

Realtime access logs and metrics gives you full visibility on what is happening behind the scene. What is the request/response payload in JSONRPC 2.0 format, what MCP client/server side notifications have been sent. What methods have been called, all available in realtime only (not stored)!

When we expose MCPs to LLMs we give full control on the tools, another killer feature of HasMCP is toggling the tools what is being exposed to LLM in realtime. You can simply toggle the ones and authorize access for LLMs and this takes immediate affect, so you can kill a tool or add new one on the fly. This increases the security and give the user to have granular control what is allowed or not. While talking to one LLM you can expose a subset of read only tools whereas some superusers would need to use the write endpoints, this selection is just a toggle in HasMCP. Once you created an API provider, you can create unlimited servers from it, you can just focus on the secure design of your system.

HasMCP is API first, and majority of these functionality also available in opensource community edition. It is time to make your product 7/24 available to ChatGPT, Gemini, VSCode, Cursor, Claude, and all other LLMs that has MCP client with realtime governance. Today is the day to build an MCP server for your product!

What makes your product unique?

HasMCP's answer

HasMCP is the first GUI MCP Server framework that supports request/response altering with interceptors.

User comments

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