Haystack Analytics
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Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
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.
Native MCP Elicitation Auth: Solves authentication challenges by handling OAuth2 flows natively. The system pauses to "elicit" permission, directing users to secure login pages. This ensures credentials are never shared with the LLM.
Secure Secret & Proxy Management: Protects sensitive data by storing API keys in an encrypted vault. HasMCP acts as a proxy, injecting necessary secrets into requests only when needed, ensuring they are never exposed to the AI or end-users.
Reduces LLM costs and latency by minimizing data payload.
JMESPath Pruning: Uses declarative queries to filter JSON responses, discarding irrelevant fields.
Goja (JS) Logic: Embeds a JavaScript engine to execute complex logic, formatting, and data transformation before the data reaches the LLM.
Leverages REST with OpenAPI spec and use gRPC discovery
Allowing developers to chain multiple modular MCP servers together to build complex, scalable AI workflows.
Real-time Dynamic Tooling: Ensures the LLM always has an accurate view of available tools. If an API goes down or permissions change, HasMCP triggers a tool_changed event to update the LLM instantly without a restart.
Observability & Telemetry: Provides a suite of monitoring tools including usage analytics, user governance, token economics (cost savings tracking), and a streaming debug console with payload inspection to troubleshoot data transformations in real-time.
Haystack Analytics HasMCPHaystack Analytics's answer
Engineering Leaders and Managers
HasMCP's answer:
Developers SaaS owners
HasMCP's answer:
Built-in auth, realtime logs, telemetry, token optimization with interceptors and secret management make HasMCP win over all competitors.
HasMCP's answer:
Go, Vue.js, Taildwincss, Redis, Postgres, Sqlite
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!
HasMCP's answer:
HasMCP is the first GUI MCP Server framework that supports request/response altering with interceptors.
Based on our record, Haystack Analytics seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
FastMCP 3.0 - The fast, Pythonic way to build MCP servers and clients
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
MCP Playground - Open-source MCP playground to test and introspect servers
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Playground by Natoma - Simple, fast way to find and try any MCP server.