drand
MCP ServerFreeFetch publicly verifiable randomness from the drand quicknet. Retrieve the latest value or look up randomness by round or timestamp. Seed simulations, raffles, and cryptographic workflows with unbiased entropy.
Capabilities4 decomposed
fetch latest verifiable randomness
Medium confidenceThis capability retrieves the most recent randomness value from the drand quicknet using a RESTful API call to the drand server. It leverages a decentralized network of randomness beacons to ensure that the randomness is publicly verifiable and unbiased, making it suitable for cryptographic applications. The implementation utilizes a simple HTTP GET request to fetch the latest round's randomness, ensuring low latency and high availability.
Utilizes a decentralized network of randomness beacons to provide verifiable randomness, ensuring no single point of failure.
More reliable than traditional random number generators as it draws from a distributed network, reducing bias.
lookup randomness by round
Medium confidenceThis capability allows users to retrieve randomness values based on specific round numbers. It works by querying the drand API with a round number parameter, which returns the associated randomness value. The architecture supports efficient lookups by indexing rounds in the backend, allowing for quick retrieval without the need to fetch all previous values.
Efficiently indexes randomness by round number to allow for rapid lookups, optimizing performance for historical queries.
Faster access to specific rounds compared to traditional databases that require scanning through all entries.
retrieve randomness by timestamp
Medium confidenceThis capability enables users to fetch randomness values based on a specific timestamp. It works by sending a request to the drand API with a timestamp parameter, which the server processes to return the closest available randomness value. The implementation uses time-based indexing to optimize retrieval speed and accuracy, ensuring users can access randomness that aligns with their timing requirements.
Utilizes time-based indexing for efficient retrieval of randomness, allowing for precise alignment with application needs.
More accurate than alternatives that do not provide timestamp-based querying, ensuring relevant randomness is fetched.
seed simulations with unbiased entropy
Medium confidenceThis capability allows users to utilize the randomness fetched from drand to seed simulations or cryptographic workflows. It works by integrating the randomness values directly into the simulation framework or cryptographic algorithms, ensuring that the entropy used is unbiased and verifiable. The architecture supports seamless integration with various simulation tools, making it easy to implement.
Provides a direct integration path for using drand randomness in simulations, ensuring verifiable and unbiased entropy.
More reliable than local pseudo-random number generators that may introduce bias or lack verifiability.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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random-generator
Generate cryptographically secure integers, floats, bytes, UUIDs, strings, booleans, and list selections. Ensure unpredictable, unbiased results for security-sensitive workflows, simulations, testing, and fair draws. Save time by accessing high-quality randomness without custom implementations.
Drand
** - An MCP server for fetching verifiable random numbers from the [drand network](https://drand.love).
Random Number
** - Provides LLMs with essential random generation abilities, built entirely on Python's standard library.
Random Recall
Generate random numbers and recall the last one to test stateful workflows. Accelerate demos and integration tests with simple randomness that persists between calls. Tailor behavior with basic configuration to fit your needs.
Chainlink
Provide seamless access to Chainlink's decentralized oracle network services including real-time price feeds, verifiable randomness, cross-chain interoperability, automation, and proof of reserve. Enable AI developers to integrate reliable blockchain data and execute custom off-chain functions effor
KST Time & Randomizer
Get the current date and time in Korea Standard Time. Draw a random number between 1 and 50 for quick picks, testing, or games. Streamline tasks that need precise local time and simple randomness.
Best For
- ✓developers building applications requiring secure randomness
- ✓developers needing historical randomness for audits or simulations
- ✓developers needing precise randomness for time-sensitive applications
- ✓data scientists and cryptographers needing reliable randomness for simulations
Known Limitations
- ⚠Dependent on the availability of the drand network; if the network is down, retrieval fails.
- ⚠Only rounds that have been generated and stored are accessible; older rounds may not be available.
- ⚠May not return a value if no randomness was generated at the exact timestamp; relies on the nearest available value.
- ⚠Requires compatible simulation frameworks; not all tools may support external randomness sources.
Requirements
Input / Output
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Repository Details
About
Fetch publicly verifiable randomness from the drand quicknet. Retrieve the latest value or look up randomness by round or timestamp. Seed simulations, raffles, and cryptographic workflows with unbiased entropy.
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