Alternatives

Products that do what An MCP that allows you break LLM's context limit does

1. 1
   Spydr▲139

   Github for LLM context. One memory, infinite possibilities.

   2025

2. 2LC
   Long context window for LLMs▲6

   2024 · colab.research.google.com

3. 3AT
   A tool to properly observe your LLM's context window▲8

   Oct 2025 · blog.nilenso.com

4. 4AM
   An MCP server that gives LLMs temporal awareness and time calculation▲91

   This is an open‑source Model Context Protocol (MCP) server that gives any LLM a sense of the passage of time. Most MCP demos wire LLMs to external data stores. That’s useful, but MCP is also a chance to give models perception — extra senses beyond the prompt text. Six functions (`current_datetime`, `time_difference`, `timestamp_context`, etc.) give Claude&#x2F;GPT real temporal awareness: It can spot pauses, reason about rhythms, and even label a chat’s “three‑act structure”. Runs locally in <60 s (Python) or via a hosted demo. If time works, what else could we surface? - Location &#x2F;…

   2025 · github.com

5. 5AL
   Another LLM Chat App to avoid having 10 different subscriptions and MCP▲18

   2025 · donsir.com

6. 6BA
   Breaktime – A CLI timer forcing you to take breaks by locking your Mac▲15

   2015 · github.com

7. 7LF
   LLM fine-tuning without infra or ML expertise▲5

   Jan 2026 · tinytune.xyz

8. 8AA
   An API that catches what your LLM confidently got wrong▲5

   Apr 2026 · enterprise.factagora.com

9. 9HC
   HighSNR – Cut length and noise from your LLM context▲6

   Mar 2026 · high-snr.com

10. 10LS
    Limitd – simple daemon for rate limiting HA applications▲15

    2015 · github.com

11. 11
    Critical Thinking MCP▲2

    Deterministic enforcement for LLM reasoning quality

    Apr 2026 · github.com

12. 12FL
    FortunaMCP – LLMs suck at randomness. I fixed it▲7

    2025 · github.com

13. 13LJ
    LLVM-jutsu: Anti-LLM obfuscation pass▲8

    Dec 2025 · github.com

14. 14
    Promptly▲13

    An AI Cost Optimization Infrastructure for LLM Applications

    Mar 2026 · getpromptly.in

15. 15PS
    PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6

    2024 · promptql.hasura.io

16. 16RM
    Rapid-MLX – Run local LLMs on Mac, 2-3x faster than alternatives▲9

    Apr 2026 · github.com

17. 17LD
    LLM Deceptiveness and Gullibility Benchmark▲7

    2024 · github.com

18. 18EC
    Ergonomically call LLM in bulk from CLI▲7

    Hi! I've found myself repeatedly writing little scripts to do bulk calls to LLMs for various tasks. For example, run some analysis on a large list of records. There are a few "gotchas" to doing this. For example, some service providers have rate limits, and some models will not reliably return JSON (if you're asking for it). So, I've written a command for this. What I've tried to do here is let the user break up prompts and configuration as they see fit. For example, you can have a prompt file which includes the API key, rate limit, settings, etc. all together, or break these up into…

    2025 · github.com

19. 19AL
    An LLM translator whose source is a single prompt▲5

    May 2026 · github.com

20. 20BS
    BonzAI – self-sovereign, local LLM inference in the browser▲5

    May 2026 · bonzai.sh

21. 21
    Context Grip▲4

    Web tool to slice codebase clutter & save 50%+ on LLM tokens

    Jun 2026 · polar.sh

22. 22
    personal context▲4

    Local, portable, + open source context across all LLMs

    Jun 2026

23. 23TL
    `tc` like `wc` but for LLM tokens▲8

    Little tool that I made to understand how (un)reasonable my prompts are.

    Jan 2026 · github.com

24. 24LC
    LLM Code Interpreter▲6

    2023 · github.com

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